CRAN Package Check Results for Package relaxnet

Last updated on 2019-11-18 06:50:34 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3-2 6.86 57.30 64.16 ERROR
r-devel-linux-x86_64-debian-gcc 0.3-2 6.21 45.59 51.80 ERROR
r-devel-linux-x86_64-fedora-clang 0.3-2 74.04 ERROR
r-devel-linux-x86_64-fedora-gcc 0.3-2 75.81 ERROR
r-devel-windows-ix86+x86_64 0.3-2 24.00 92.00 116.00 ERROR
r-patched-linux-x86_64 0.3-2 7.12 53.14 60.26 ERROR
r-patched-solaris-x86 0.3-2 115.10 ERROR
r-release-linux-x86_64 0.3-2 7.48 53.32 60.80 ERROR
r-release-windows-ix86+x86_64 0.3-2 15.00 95.00 110.00 ERROR
r-release-osx-x86_64 0.3-2 NOTE
r-oldrel-windows-ix86+x86_64 0.3-2 8.00 86.00 94.00 NOTE
r-oldrel-osx-x86_64 0.3-2 NOTE

Check Details

Version: 0.3-2
Check: whether the package can be unloaded cleanly
Result: WARN
    Error: package or namespace load failed for 'relaxnet':
     .onAttach failed in attachNamespace() for 'relaxnet', details:
     call: packageDescription("relaxnet")
     error: could not find function "packageDescription"
    Execution halted
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-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64

Version: 0.3-2
Check: dependencies in R code
Result: NOTE
    Error: package or namespace load failed for 'relaxnet':
     .onAttach failed in attachNamespace() for 'relaxnet', details:
     call: packageDescription("relaxnet")
     error: could not find function "packageDescription"
    Call sequence:
    6: stop(msg, call. = FALSE, domain = NA)
    5: value[[3L]](cond)
    4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
    3: tryCatchList(expr, classes, parentenv, handlers)
    2: tryCatch({
     attr(package, "LibPath") <- which.lib.loc
     ns <- loadNamespace(package, lib.loc)
     env <- attachNamespace(ns, pos = pos, deps, exclude, include.only)
     }, error = function(e) {
     P <- if (!is.null(cc <- conditionCall(e)))
     paste(" in", deparse(cc)[1L])
     else ""
     msg <- gettextf("package or namespace load failed for %s%s:\n %s",
     sQuote(package), P, conditionMessage(e))
     if (logical.return)
     message(paste("Error:", msg), domain = NA)
     else stop(msg, call. = FALSE, domain = NA)
     })
    1: library(package,
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-windows-ix86+x86_64, r-release-windows-ix86+x86_64

Version: 0.3-2
Check: R code for possible problems
Result: NOTE
    .onAttach: no visible global function definition for
     'packageDescription'
    .relax.cv.elnet: no visible global function definition for 'predict'
    .relax.cv.elnet: no visible binding for global variable 'weighted.mean'
    .relax.cv.lognet: no visible global function definition for 'predict'
    .relax.cv.lognet: no visible global function definition for 'auc.mat'
    .relax.cv.lognet: no visible binding for global variable
     'weighted.mean'
    .relax.cvcompute: no visible binding for global variable
     'weighted.mean'
    .single.column: no visible global function definition for 'glm'
    .single.column: no visible global function definition for 'coef'
    cv.alpha.relaxnet: no visible global function definition for
     'mc.reset.stream'
    cv.alpha.relaxnet: no visible global function definition for 'mclapply'
    cv.relaxnet: no visible global function definition for 'predict'
    cv.relaxnet: no visible global function definition for
     'mc.reset.stream'
    cv.relaxnet: no visible global function definition for 'mclapply'
    cv.relaxnet: no visible global function definition for 'getmin'
    predict.cv.alpha.relaxnet: no visible global function definition for
     'predict'
    predict.cv.relaxnet: no visible global function definition for
     'predict'
    predict.relaxnet: no visible global function definition for 'predict'
    Undefined global functions or variables:
     auc.mat coef getmin glm mc.reset.stream mclapply packageDescription
     predict weighted.mean
    Consider adding
     importFrom("stats", "coef", "glm", "predict", "weighted.mean")
     importFrom("utils", "packageDescription")
    to your NAMESPACE file.
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-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64

Version: 0.3-2
Check: examples
Result: ERROR
    Running examples in 'relaxnet-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: cv.relaxnet
    > ### Title: Cross-Validation for relaxnet Models
    > ### Aliases: cv.relaxnet cv.alpha.relaxnet
    >
    > ### ** Examples
    >
    > ## generate predictor matrix
    >
    > nobs <- 100
    > nvars <- 200
    >
    > set.seed(23)
    >
    > x <- matrix(rnorm(nobs * nvars), nobs, nvars)
    >
    > ## make sure it has unique colnames
    >
    > colnames(x) <- paste("x", 1:ncol(x), sep = "")
    >
    > ## let y depend on first 5 columns plus noise
    >
    > y <- rowSums(x[, 1:5]) + rnorm(nrow(x))
    >
    > ## run cv.relaxnet
    >
    > cv.result <- cv.relaxnet(x, y)
    Error in cv.elnet(list(list(a0 = c(s0 = 0.0667100389773721, s1 = 0.059929393089065, :
     could not find function "cv.elnet"
    Calls: cv.relaxnet -> do.call
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.3-2
Check: dependencies in R code
Result: NOTE
    Error: package or namespace load failed for ‘relaxnet’:
     .onAttach failed in attachNamespace() for 'relaxnet', details:
     call: packageDescription("relaxnet")
     error: could not find function "packageDescription"
    Call sequence:
    6: stop(msg, call. = FALSE, domain = NA)
    5: value[[3L]](cond)
    4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
    3: tryCatchList(expr, classes, parentenv, handlers)
    2: tryCatch({
     attr(package, "LibPath") <- which.lib.loc
     ns <- loadNamespace(package, lib.loc)
     env <- attachNamespace(ns, pos = pos, deps, exclude, include.only)
     }, error = function(e) {
     P <- if (!is.null(cc <- conditionCall(e)))
     paste(" in", deparse(cc)[1L])
     else ""
     msg <- gettextf("package or namespace load failed for %s%s:\n %s",
     sQuote(package), P, conditionMessage(e))
     if (logical.return)
     message(paste("Error:", msg), domain = NA)
     else stop(msg, call. = FALSE, domain = NA)
     })
    1: library(packa
    Execution halted
Flavors: r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64

Version: 0.3-2
Check: examples
Result: ERROR
    Running examples in ‘relaxnet-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: cv.relaxnet
    > ### Title: Cross-Validation for relaxnet Models
    > ### Aliases: cv.relaxnet cv.alpha.relaxnet
    >
    > ### ** Examples
    >
    > ## generate predictor matrix
    >
    > nobs <- 100
    > nvars <- 200
    >
    > set.seed(23)
    >
    > x <- matrix(rnorm(nobs * nvars), nobs, nvars)
    >
    > ## make sure it has unique colnames
    >
    > colnames(x) <- paste("x", 1:ncol(x), sep = "")
    >
    > ## let y depend on first 5 columns plus noise
    >
    > y <- rowSums(x[, 1:5]) + rnorm(nrow(x))
    >
    > ## run cv.relaxnet
    >
    > cv.result <- cv.relaxnet(x, y)
    Error in cv.elnet(list(list(a0 = c(s0 = 0.0667100389773721, s1 = 0.059929393089065, :
     could not find function "cv.elnet"
    Calls: cv.relaxnet -> do.call
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-release-windows-ix86+x86_64

Version: 0.3-2
Check: examples
Result: ERROR
    Running examples in ‘relaxnet-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: cv.relaxnet
    > ### Title: Cross-Validation for relaxnet Models
    > ### Aliases: cv.relaxnet cv.alpha.relaxnet
    >
    > ### ** Examples
    >
    > ## generate predictor matrix
    >
    > nobs <- 100
    > nvars <- 200
    >
    > set.seed(23)
    >
    > x <- matrix(rnorm(nobs * nvars), nobs, nvars)
    >
    > ## make sure it has unique colnames
    >
    > colnames(x) <- paste("x", 1:ncol(x), sep = "")
    >
    > ## let y depend on first 5 columns plus noise
    >
    > y <- rowSums(x[, 1:5]) + rnorm(nrow(x))
    >
    > ## run cv.relaxnet
    >
    > cv.result <- cv.relaxnet(x, y)
    Error in cv.elnet(list(list(a0 = c(s0 = 0.0667100389773719, s1 = 0.0599293930828956, :
     could not find function "cv.elnet"
    Calls: cv.relaxnet -> do.call
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.3-2
Check: dependencies in R code
Result: NOTE
    'library' or 'require' call to ‘parallel’ in package code.
     Please use :: or requireNamespace() instead.
     See section 'Suggested packages' in the 'Writing R Extensions' manual.
Flavors: r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64

Version: 0.3-2
Check: R code for possible problems
Result: NOTE
    .onAttach: no visible global function definition for
     ‘packageDescription’
    .relax.cv.elnet: no visible global function definition for ‘predict’
    .relax.cv.elnet: no visible binding for global variable ‘weighted.mean’
    .relax.cv.lognet: no visible global function definition for ‘predict’
    .relax.cv.lognet: no visible binding for global variable
     ‘weighted.mean’
    .relax.cvcompute: no visible binding for global variable
     ‘weighted.mean’
    .single.column: no visible global function definition for ‘glm’
    .single.column: no visible global function definition for ‘coef’
    cv.alpha.relaxnet: no visible global function definition for
     ‘mc.reset.stream’
    cv.alpha.relaxnet: no visible global function definition for ‘mclapply’
    cv.relaxnet: no visible global function definition for ‘predict’
    cv.relaxnet: no visible global function definition for
     ‘mc.reset.stream’
    cv.relaxnet: no visible global function definition for ‘mclapply’
    predict.cv.alpha.relaxnet: no visible global function definition for
     ‘predict’
    predict.cv.relaxnet: no visible global function definition for
     ‘predict’
    predict.relaxnet: no visible global function definition for ‘predict’
    Undefined global functions or variables:
     coef glm mc.reset.stream mclapply packageDescription predict
     weighted.mean
    Consider adding
     importFrom("stats", "coef", "glm", "predict", "weighted.mean")
     importFrom("utils", "packageDescription")
    to your NAMESPACE file.
Flavors: r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64