CRAN Package Check Results for Package FRegSigCom

Last updated on 2018-04-30 16:52:28 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.1 64.56 95.51 160.07 OK
r-devel-linux-x86_64-debian-gcc 0.2.1 56.97 78.38 135.35 OK
r-devel-linux-x86_64-fedora-clang 0.2.1 114.00 NOTE
r-devel-linux-x86_64-fedora-gcc 0.2.1 149.35 NOTE
r-devel-windows-ix86+x86_64 0.2.1 127.00 210.00 337.00 OK
r-patched-linux-x86_64 0.2.1 61.63 90.19 151.82 OK
r-patched-solaris-x86 0.2.1 212.20 OK
r-release-linux-x86_64 0.2.1 61.70 90.85 152.55 OK
r-release-windows-ix86+x86_64 0.2.1 127.00 210.00 337.00 OK
r-release-osx-x86_64 0.2.1 NOTE
r-oldrel-windows-ix86+x86_64 0.2.1 90.00 196.00 286.00 ERROR
r-oldrel-osx-x86_64 0.1.0 OK

Additional issues

clang-ASAN gcc-ASAN valgrind

Check Details

Version: 0.2.1
Check: installed package size
Result: NOTE
     installed size is 21.8Mb
     sub-directories of 1Mb or more:
     libs 21.2Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-release-osx-x86_64

Version: 0.2.1
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'FRegSigCom-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: step.ff.interaction
    > ### Title: Stepwise variable selection procedure for FOF regression models
    > ### with two-way interactions
    > ### Aliases: step.ff.interaction
    >
    > ### ** Examples
    >
    >
    > library(FRegSigCom)
    > data(ocean)
    >
    > Y=ocean$Salinity
    > X=list()
    > X[[1]]=ocean$Potential.density
    > X[[2]]=ocean$Temperature
    > X[[3]]=ocean$Oxygen
    > X[[4]]=ocean$Chloropigment
    > n.curves=length(X)
    > ntot=dim(Y)[1]
    > ntrain=60
    > ntest=ntot-ntrain
    > X.uncent=X
    > for(i in 1:n.curves){
    + X[[i]]=scale(X.uncent[[i]],center=TRUE, scale=FALSE)
    + }
    > lengthX=dim(X[[1]])[2]
    > lengthY=dim(Y)[2]
    > t.x=seq(0,1,length=lengthX)
    > t.y=seq(0,1,length=lengthY)
    > I.train=sample(1:ntot, ntrain)
    > X.train=list()
    > X.test=list()
    > t.x.all=list()
    > for(j in 1:n.curves){
    + X.train[[j]]=X[[j]][I.train,]
    + X.test[[j]]=X[[j]][-I.train,]
    + t.x.all[[j]]=t.x
    + }
    > Y.train=Y[I.train, ]
    > Y.test=Y[-I.train, ]
    >
    >
    > ###############################
    > #model selection
    > ###############################
    >
    > fit.step=step.ff.interaction(X.train, Y.train, t.x.all, t.y)
    ##################################################################
    Step 1
    ** CV procedure for calculation of CV error**
    min_cv_error 1e+020
    current_cv_error 0.0349587
    ** determine effects added or removed from the current model **
    the main effecs after this step= 1 2 4
    the interaction effecs after this step is empty!
    ##################################################################
    Step 2
    ** CV procedure for calculation of CV error**
    min_cv_error 0.0349587
    current_cv_error 0.0301336
    ** determine effects added or removed from the current model **
    the main effecs after this step= 1 2 4
    the interaction effecs after this step=
    (2,2)
    ##################################################################
    Step 3
    ** CV procedure for calculation of CV error**
    min_cv_error 0.0301336
    current_cv_error 0.0259739
    ** determine effects added or removed from the current model **
    the main effecs after this step= 1 2
    the interaction effecs after this step=
    (2,2)
    ##################################################################
    Step 4
    ** CV procedure for calculation of CV error**
    min_cv_error 0.0259739
    current_cv_error 0.0257188
    ** determine effects added or removed from the current model **
    the main effecs after this step= 1 2 4
    the interaction effecs after this step=
    (2,2)
    ##################################################################
    Step 5
    ** CV procedure for calculation of CV error**
    min_cv_error 0.0257188
    current_cv_error 0.0259739
    ##################################################################
    finally selected main effecs= 1 2
    finally selected interation effecs=
    (2,2)
    ##################################################################
    **CV procedure for nonadaptive fitting**
    **(used to determine the adaptive constants)**
Flavor: r-oldrel-windows-ix86+x86_64