Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  'stopCluster'
.enableThreads: no visible global function definition for 'detectCores'
.enableThreads: no visible global function definition for
  'makePSOCKcluster'
.enableThreads: no visible global function definition for
  'clusterExport'
.enableThreads: no visible global function definition for 'clusterCall'
.forwardSelection: no visible binding for global variable 'var'
.forwardSelection: no visible global function definition for 'glm'
.forwardSelection: no visible global function definition for 'formula'
.forwardSelection: no visible global function definition for 'binomial'
.forwardSelection: no visible global function definition for 'lm'
.forwardSelection: no visible global function definition for 'predict'
.predict.internal: no visible global function definition for 'predict'
randomGLM: no visible binding for global variable 'cor'
randomGLM: no visible binding for global variable 'sd'
randomGLM: no visible global function definition for 'var'
thinRandomGLM: no visible global function definition for 'glm'
thinRandomGLM: no visible global function definition for 'binomial'
thinRandomGLM: no visible global function definition for 'lm'
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.

Found the following assignments to the global environment:
File 'randomGLM/R/randomGLM.R':
  assign(".randomGLMparallelCluster", cluster, pos = ".GlobalEnv")
Rd file 'predict.randomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

Rd file 'randomGLM.Rd':
  \usage lines wider than 90 characters:
       # Multi-level classification options - only apply to classification with multi-level response

Rd file 'thinRandomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

These lines will be truncated in the PDF manual.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.

Found the following assignments to the global environment:
File ‘randomGLM/R/randomGLM.R’:
  assign(".randomGLMparallelCluster", cluster, pos = ".GlobalEnv")
Rd file 'predict.randomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

Rd file 'randomGLM.Rd':
  \usage lines wider than 90 characters:
       # Multi-level classification options - only apply to classification with multi-level response

Rd file 'thinRandomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

These lines will be truncated in the PDF manual.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.

Found the following assignments to the global environment:
File ‘randomGLM/R/randomGLM.R’:
  assign(".randomGLMparallelCluster", cluster, pos = ".GlobalEnv")
Rd file 'predict.randomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

Rd file 'randomGLM.Rd':
  \usage lines wider than 90 characters:
       # Multi-level classification options - only apply to classification with multi-level response

Rd file 'thinRandomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

These lines will be truncated in the PDF manual.
Undeclared package ‘WGCNA’ in Rd xrefs
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Rd file 'predict.randomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

Rd file 'randomGLM.Rd':
  \usage lines wider than 90 characters:
       # Multi-level classification options - only apply to classification with multi-level response

Rd file 'thinRandomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

These lines will be truncated in the PDF manual.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  'stopCluster'
.enableThreads: no visible global function definition for 'detectCores'
.enableThreads: no visible global function definition for
  'makePSOCKcluster'
.enableThreads: no visible global function definition for
  'clusterExport'
.enableThreads: no visible global function definition for 'clusterCall'
.forwardSelection: no visible binding for global variable 'var'
.forwardSelection: no visible global function definition for 'glm'
.forwardSelection: no visible global function definition for 'formula'
.forwardSelection: no visible global function definition for 'binomial'
.forwardSelection: no visible global function definition for 'lm'
.forwardSelection: no visible global function definition for 'predict'
.predict.internal: no visible global function definition for 'predict'
randomGLM: no visible binding for global variable 'cor'
randomGLM: no visible binding for global variable 'sd'
randomGLM: no visible global function definition for 'var'
thinRandomGLM: no visible global function definition for 'glm'
thinRandomGLM: no visible global function definition for 'binomial'
thinRandomGLM: no visible global function definition for 'lm'
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  'stopCluster'
.enableThreads: no visible global function definition for 'detectCores'
.enableThreads: no visible global function definition for
  'makePSOCKcluster'
.enableThreads: no visible global function definition for
  'clusterExport'
.enableThreads: no visible global function definition for 'clusterCall'
.forwardSelection: no visible binding for global variable 'var'
.forwardSelection: no visible global function definition for 'glm'
.forwardSelection: no visible global function definition for 'formula'
.forwardSelection: no visible global function definition for 'binomial'
.forwardSelection: no visible global function definition for 'lm'
.forwardSelection: no visible global function definition for 'predict'
.predict.internal: no visible global function definition for 'predict'
randomGLM: no visible binding for global variable 'cor'
randomGLM: no visible binding for global variable 'sd'
randomGLM: no visible global function definition for 'var'
thinRandomGLM: no visible global function definition for 'glm'
thinRandomGLM: no visible global function definition for 'binomial'
thinRandomGLM: no visible global function definition for 'lm'
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.

Found the following assignments to the global environment:
File ‘randomGLM/R/randomGLM.R’:
  assign(".randomGLMparallelCluster", cluster, pos = ".GlobalEnv")
Rd file 'predict.randomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

Rd file 'randomGLM.Rd':
  \usage lines wider than 90 characters:
       # Multi-level classification options - only apply to classification with multi-level response

Rd file 'thinRandomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

These lines will be truncated in the PDF manual.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.

Found the following assignments to the global environment:
File ‘randomGLM/R/randomGLM.R’:
  assign(".randomGLMparallelCluster", cluster, pos = ".GlobalEnv")
Rd file 'predict.randomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

Rd file 'randomGLM.Rd':
  \usage lines wider than 90 characters:
       # Multi-level classification options - only apply to classification with multi-level response

Rd file 'thinRandomGLM.Rd':
  \examples lines wider than 100 characters:
     RGLM = randomGLM(xTrain, yTrain, nCandidateCovariates=ncol(xTrain), nBags=30, keepModels = TRUE, nThreads = 1)

These lines will be truncated in the PDF manual.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Package unavailable to check Rd xrefs: ‘WGCNA’
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Package unavailable to check Rd xrefs: ‘WGCNA’
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  'stopCluster'
.enableThreads: no visible global function definition for 'detectCores'
.enableThreads: no visible global function definition for
  'makePSOCKcluster'
.enableThreads: no visible global function definition for
  'clusterExport'
.enableThreads: no visible global function definition for 'clusterCall'
.forwardSelection: no visible binding for global variable 'var'
.forwardSelection: no visible global function definition for 'glm'
.forwardSelection: no visible global function definition for 'formula'
.forwardSelection: no visible global function definition for 'binomial'
.forwardSelection: no visible global function definition for 'lm'
.forwardSelection: no visible global function definition for 'predict'
.predict.internal: no visible global function definition for 'predict'
randomGLM: no visible binding for global variable 'cor'
randomGLM: no visible binding for global variable 'sd'
randomGLM: no visible global function definition for 'var'
thinRandomGLM: no visible global function definition for 'glm'
thinRandomGLM: no visible global function definition for 'binomial'
thinRandomGLM: no visible global function definition for 'lm'
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  ‘stopCluster’
.enableThreads: no visible global function definition for ‘detectCores’
.enableThreads: no visible global function definition for
  ‘makePSOCKcluster’
.enableThreads: no visible global function definition for
  ‘clusterExport’
.enableThreads: no visible global function definition for ‘clusterCall’
.forwardSelection: no visible binding for global variable ‘var’
.forwardSelection: no visible global function definition for ‘glm’
.forwardSelection: no visible global function definition for ‘formula’
.forwardSelection: no visible global function definition for ‘binomial’
.forwardSelection: no visible global function definition for ‘lm’
.forwardSelection: no visible global function definition for ‘predict’
.predict.internal: no visible global function definition for ‘predict’
randomGLM: no visible binding for global variable ‘cor’
randomGLM: no visible binding for global variable ‘sd’
randomGLM: no visible global function definition for ‘var’
thinRandomGLM: no visible global function definition for ‘glm’
thinRandomGLM: no visible global function definition for ‘binomial’
thinRandomGLM: no visible global function definition for ‘lm’
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.
Package unavailable to check Rd xrefs: ‘WGCNA’
Malformed Description field: should contain one or more complete sentences.
.disableThreads: no visible global function definition for
  'stopCluster'
.enableThreads: no visible global function definition for 'detectCores'
.enableThreads: no visible global function definition for
  'makePSOCKcluster'
.enableThreads: no visible global function definition for
  'clusterExport'
.enableThreads: no visible global function definition for 'clusterCall'
.forwardSelection: no visible binding for global variable 'var'
.forwardSelection: no visible global function definition for 'glm'
.forwardSelection: no visible global function definition for 'formula'
.forwardSelection: no visible global function definition for 'binomial'
.forwardSelection: no visible global function definition for 'lm'
.forwardSelection: no visible global function definition for 'predict'
.predict.internal: no visible global function definition for 'predict'
randomGLM: no visible binding for global variable 'cor'
randomGLM: no visible binding for global variable 'sd'
randomGLM: no visible global function definition for 'var'
thinRandomGLM: no visible global function definition for 'glm'
thinRandomGLM: no visible global function definition for 'binomial'
thinRandomGLM: no visible global function definition for 'lm'
Undefined global functions or variables:
  binomial clusterCall clusterExport cor detectCores formula glm lm
  makePSOCKcluster predict sd stopCluster var
Consider adding
  importFrom("stats", "binomial", "cor", "formula", "glm", "lm",
             "predict", "sd", "var")
to your NAMESPACE file.