CRAN Package Check Results for Package GSIF

Last updated on 2021-03-28 08:50:53 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.5-5.1 44.35 214.46 258.81 ERROR
r-devel-linux-x86_64-debian-gcc 0.5-5.1 32.07 159.45 191.52 ERROR
r-devel-linux-x86_64-fedora-clang 0.5-5.1 324.01 ERROR
r-devel-linux-x86_64-fedora-gcc 0.5-5.1 309.18 ERROR
r-devel-windows-ix86+x86_64 0.5-5.1 72.00 252.00 324.00 ERROR
r-devel-windows-x86_64-gcc10-UCRT 0.5-5.1 ERROR
r-patched-linux-x86_64 0.5-5.1 38.23 197.46 235.69 ERROR
r-patched-solaris-x86 0.5-5.1 418.00 ERROR
r-release-linux-x86_64 0.5-5.1 35.91 197.23 233.14 ERROR
r-release-macos-x86_64 0.5-5.1 NOTE
r-release-windows-ix86+x86_64 0.5-5.1 72.00 254.00 326.00 ERROR
r-oldrel-macos-x86_64 0.5-5.1 OK
r-oldrel-windows-ix86+x86_64 0.5-5.1 63.00 226.00 289.00 ERROR

Check Details

Version: 0.5-5.1
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: 'SDMTools'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-gcc10-UCRT, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-x86_64

Version: 0.5-5.1
Check: dependencies in R code
Result: WARN
    Missing or unexported objects:
     'spatstat::density.ppp' 'spatstat::nndist' 'spatstat::owin'
     'spatstat::ppp'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-devel-windows-x86_64-gcc10-UCRT

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in 'GSIF-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-patched-linux-x86_64

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in ‘GSIF-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     40% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in ‘GSIF-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     69% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in ‘GSIF-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: TRUE
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     19% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in 'GSIF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     79% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in 'GSIF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: TRUE
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     96% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-devel-windows-x86_64-gcc10-UCRT

Version: 0.5-5.1
Check: dependencies in R code
Result: NOTE
    Missing or unexported objects:
     ‘spatstat::density.ppp’ ‘spatstat::nndist’ ‘spatstat::owin’
     ‘spatstat::ppp’
Flavors: r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in ‘GSIF-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Subsetting observations to fit the prediction domain in 2D...
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     93% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in ‘GSIF-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     15% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-release-linux-x86_64

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in 'GSIF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     56% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.5-5.1
Check: examples
Result: ERROR
    Running examples in 'GSIF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: gstatModel-class
    > ### Title: A class for a geostatistical model
    > ### Aliases: gstatModel-class validate,gstatModel-method
    > ### plot,gstatModel,ANY-method validate print.gstatModel plot.gstatModel
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > ## load observations:
    > library(plotKML)
    plotKML version 0.6-1 (2020-03-08)
    URL: http://plotkml.r-forge.r-project.org/
    > library(sp)
    > library(maptools)
    Checking rgeos availability: FALSE
     Note: when rgeos is not available, polygon geometry computations in maptools depend on gpclib,
     which has a restricted licence. It is disabled by default;
     to enable gpclib, type gpclibPermit()
    > demo(meuse, echo=FALSE)
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > data(meuse)
    > coordinates(meuse) <- ~x+y
    > proj4string(meuse) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## load grids:
    > data(meuse.grid)
    > coordinates(meuse.grid) <- ~x+y
    > gridded(meuse.grid) <- TRUE
    > proj4string(meuse.grid) <- CRS("+init=epsg:28992")
    Warning in showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
     Discarded datum Amersfoort in Proj4 definition
    > ## fit a model:
    > omm <- fit.gstatModel(meuse, om~dist+ffreq,
    + fit.family=gaussian(link="log"), meuse.grid)
    Fitting a 2D variogram...
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionDomain) :
     CRS object has comment, which is lost in output
    Saving an object of class 'gstatModel'...
    > plot(omm)
    dev.new(): using pdf(file="Rplots11.pdf")
    > ## produce SpatialPredictions:
    > om.rk <- predict(omm, predictionLocations = meuse.grid)
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Warning in proj4string(object@sp) :
     CRS object has comment, which is lost in output
    Subsetting observations to fit the prediction domain in 2D...
    Warning in proj4string(observed) :
     CRS object has comment, which is lost in output
    Warning in proj4string(predictionLocations) :
     CRS object has comment, which is lost in output
    Generating predictions using the trend model (RK method)...
    [using ordinary kriging]
    
     14% done
    100% done
    Running 5-fold cross validation using 'krige.cv'...
    Warning in proj4string(obj) :
     CRS object has comment, which is lost in output
    Creating an object of class "SpatialPredictions"
    > plot(om.rk)
    > ## run a proper cross-validation:
    > rk.cv <- validate(omm)
    Estimating the predictionDomain...
    Error: 'nndist' is not an exported object from 'namespace:spatstat'
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64