Packages in Depends field not imported from:
  'gbm' 'glmnet' 'randomForest' 'tree'
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for 'glmnet'
cv.LDCA: no visible global function definition for 'cv.glmnet'
predict.LDCA: no visible global function definition for 'predict'
predict.cv.LDCA: no visible global function definition for 'predict'
predict.tsp.gbm: no visible global function definition for 'predict'
predict.tsp.randomForest: no visible global function definition for
  'predict'
predict.tsp.tree: no visible global function definition for 'predict'
tsp.gbm: no visible global function definition for 'gbm.fit'
tsp.randomForest: no visible global function definition for
  'randomForest'
tsp.tree: no visible global function definition for 'tree.control'
tsp.tree: no visible global function definition for 'tree'
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Rd file 'predict.LDCA.Rd':
  \usage lines wider than 90 characters:
     predict(object, newx, s = NULL, type = c("link", "response", "coefficients", "nonzero", "class"), exact = FALSE, offset, ...)

Rd file 'predict.tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = "response", norm.votes = TRUE, predict.all = FALSE, proximity = FALSE, nodes = FALSE, cutoff, ...)

Rd file 'predict.tsp.tree.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = c("vector", "tree", "class", "where"), split = FALSE, nwts, eps = 0.001, ...)

Rd file 'tsp.gbm.Rd':
  \usage lines wider than 90 characters:
     tsp.gbm(x, y, offset = NULL, misc = NULL, distribution = "bernoulli", w = NULL, var.monotone = NULL, n.trees = 100, interaction.depth = ... [TRUNCATED]

Rd file 'tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     tsp.randomForest(x, y = NULL, xtest = NULL, ytest = NULL, ntree = 500, type = "classification", mtry = if (!is.null(y) && !is.factor(y) ... [TRUNCATED]

Rd file 'tsp.tree.Rd':
  \usage lines wider than 90 characters:
     tsp.tree(X, response, control = tree.control(dim(X)[1], ...), method = "recursive.partition", split = c("deviance", "gini"), x = FALSE, ... [TRUNCATED]

These lines will be truncated in the PDF manual.
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Rd file 'predict.LDCA.Rd':
  \usage lines wider than 90 characters:
     predict(object, newx, s = NULL, type = c("link", "response", "coefficients", "nonzero", "class"), exact = FALSE, offset, ...)

Rd file 'predict.tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = "response", norm.votes = TRUE, predict.all = FALSE, proximity = FALSE, nodes = FALSE, cutoff, ...)

Rd file 'predict.tsp.tree.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = c("vector", "tree", "class", "where"), split = FALSE, nwts, eps = 0.001, ...)

Rd file 'tsp.gbm.Rd':
  \usage lines wider than 90 characters:
     tsp.gbm(x, y, offset = NULL, misc = NULL, distribution = "bernoulli", w = NULL, var.monotone = NULL, n.trees = 100, interaction.depth = ... [TRUNCATED]

Rd file 'tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     tsp.randomForest(x, y = NULL, xtest = NULL, ytest = NULL, ntree = 500, type = "classification", mtry = if (!is.null(y) && !is.factor(y) ... [TRUNCATED]

Rd file 'tsp.tree.Rd':
  \usage lines wider than 90 characters:
     tsp.tree(X, response, control = tree.control(dim(X)[1], ...), method = "recursive.partition", split = c("deviance", "gini"), x = FALSE, ... [TRUNCATED]

These lines will be truncated in the PDF manual.
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Rd file 'predict.LDCA.Rd':
  \usage lines wider than 90 characters:
     predict(object, newx, s = NULL, type = c("link", "response", "coefficients", "nonzero", "class"), exact = FALSE, offset, ...)

Rd file 'predict.tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = "response", norm.votes = TRUE, predict.all = FALSE, proximity = FALSE, nodes = FALSE, cutoff, ...)

Rd file 'predict.tsp.tree.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = c("vector", "tree", "class", "where"), split = FALSE, nwts, eps = 0.001, ...)

Rd file 'tsp.gbm.Rd':
  \usage lines wider than 90 characters:
     tsp.gbm(x, y, offset = NULL, misc = NULL, distribution = "bernoulli", w = NULL, var.monotone = NULL, n.trees = 100, interaction.depth = ... [TRUNCATED]

Rd file 'tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     tsp.randomForest(x, y = NULL, xtest = NULL, ytest = NULL, ntree = 500, type = "classification", mtry = if (!is.null(y) && !is.factor(y) ... [TRUNCATED]

Rd file 'tsp.tree.Rd':
  \usage lines wider than 90 characters:
     tsp.tree(X, response, control = tree.control(dim(X)[1], ...), method = "recursive.partition", split = c("deviance", "gini"), x = FALSE, ... [TRUNCATED]

These lines will be truncated in the PDF manual.
Running examples in ‘BigTSP-Ex.R’ failed
The error most likely occurred in:

> ### Name: predict.tsp.randomForest
> ### Title: prediction function for tsp.randomForest
> ### Aliases: predict.tsp.randomForest
> 
> ### ** Examples
> 
> library(randomForest)
> x=matrix(rnorm(100*20),100,20)
> y=rbinom(100,1,0.5)
> y=as.factor(y)
> fit=tsp.randomForest(x,y)
Error in randomForest(newx, y = y, xtest = xtest, ytest = ytest, ntree = ntree,  : 
  argument "cutoff" is missing, with no default
Calls: tsp.randomForest -> randomForest -> randomForest.default
Execution halted
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Rd file 'predict.LDCA.Rd':
  \usage lines wider than 90 characters:
     predict(object, newx, s = NULL, type = c("link", "response", "coefficients", "nonzero", "class"), exact = FALSE, offset, ...)

Rd file 'predict.tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = "response", norm.votes = TRUE, predict.all = FALSE, proximity = FALSE, nodes = FALSE, cutoff, ...)

Rd file 'predict.tsp.tree.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = c("vector", "tree", "class", "where"), split = FALSE, nwts, eps = 0.001, ...)

Rd file 'tsp.gbm.Rd':
  \usage lines wider than 90 characters:
     tsp.gbm(x, y, offset = NULL, misc = NULL, distribution = "bernoulli", w = NULL, var.monotone = NULL, n.trees = 100, interaction.depth = ... [TRUNCATED]

Rd file 'tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     tsp.randomForest(x, y = NULL, xtest = NULL, ytest = NULL, ntree = 500, type = "classification", mtry = if (!is.null(y) && !is.factor(y) ... [TRUNCATED]

Rd file 'tsp.tree.Rd':
  \usage lines wider than 90 characters:
     tsp.tree(X, response, control = tree.control(dim(X)[1], ...), method = "recursive.partition", split = c("deviance", "gini"), x = FALSE, ... [TRUNCATED]

These lines will be truncated in the PDF manual.
Running examples in ‘BigTSP-Ex.R’ failed
The error most likely occurred in:

> ### Name: predict.tsp.randomForest
> ### Title: prediction function for tsp.randomForest
> ### Aliases: predict.tsp.randomForest
> 
> ### ** Examples
> 
> library(randomForest)
> x=matrix(rnorm(100*20),100,20)
> y=rbinom(100,1,0.5)
> y=as.factor(y)
> fit=tsp.randomForest(x,y)
Error in randomForest(newx, y = y, xtest = xtest, ytest = ytest, ntree = ntree,  : 
  argument "cutoff" is missing, with no default
Calls: tsp.randomForest -> randomForest -> randomForest.default
Execution halted
Packages in Depends field not imported from:
  'gbm' 'glmnet' 'randomForest' 'tree'
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for 'glmnet'
cv.LDCA: no visible global function definition for 'cv.glmnet'
predict.LDCA: no visible global function definition for 'predict'
predict.cv.LDCA: no visible global function definition for 'predict'
predict.tsp.gbm: no visible global function definition for 'predict'
predict.tsp.randomForest: no visible global function definition for
  'predict'
predict.tsp.tree: no visible global function definition for 'predict'
tsp.gbm: no visible global function definition for 'gbm.fit'
tsp.randomForest: no visible global function definition for
  'randomForest'
tsp.tree: no visible global function definition for 'tree.control'
tsp.tree: no visible global function definition for 'tree'
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Packages in Depends field not imported from:
  'gbm' 'glmnet' 'randomForest' 'tree'
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for 'glmnet'
cv.LDCA: no visible global function definition for 'cv.glmnet'
predict.LDCA: no visible global function definition for 'predict'
predict.cv.LDCA: no visible global function definition for 'predict'
predict.tsp.gbm: no visible global function definition for 'predict'
predict.tsp.randomForest: no visible global function definition for
  'predict'
predict.tsp.tree: no visible global function definition for 'predict'
tsp.gbm: no visible global function definition for 'gbm.fit'
tsp.randomForest: no visible global function definition for
  'randomForest'
tsp.tree: no visible global function definition for 'tree.control'
tsp.tree: no visible global function definition for 'tree'
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Rd file 'predict.LDCA.Rd':
  \usage lines wider than 90 characters:
     predict(object, newx, s = NULL, type = c("link", "response", "coefficients", "nonzero", "class"), exact = FALSE, offset, ...)

Rd file 'predict.tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = "response", norm.votes = TRUE, predict.all = FALSE, proximity = FALSE, nodes = FALSE, cutoff, ...)

Rd file 'predict.tsp.tree.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = c("vector", "tree", "class", "where"), split = FALSE, nwts, eps = 0.001, ...)

Rd file 'tsp.gbm.Rd':
  \usage lines wider than 90 characters:
     tsp.gbm(x, y, offset = NULL, misc = NULL, distribution = "bernoulli", w = NULL, var.monotone = NULL, n.trees = 100, interaction.depth = ... [TRUNCATED]

Rd file 'tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     tsp.randomForest(x, y = NULL, xtest = NULL, ytest = NULL, ntree = 500, type = "classification", mtry = if (!is.null(y) && !is.factor(y) ... [TRUNCATED]

Rd file 'tsp.tree.Rd':
  \usage lines wider than 90 characters:
     tsp.tree(X, response, control = tree.control(dim(X)[1], ...), method = "recursive.partition", split = c("deviance", "gini"), x = FALSE, ... [TRUNCATED]

These lines will be truncated in the PDF manual.
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Rd file 'predict.LDCA.Rd':
  \usage lines wider than 90 characters:
     predict(object, newx, s = NULL, type = c("link", "response", "coefficients", "nonzero", "class"), exact = FALSE, offset, ...)

Rd file 'predict.tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = "response", norm.votes = TRUE, predict.all = FALSE, proximity = FALSE, nodes = FALSE, cutoff, ...)

Rd file 'predict.tsp.tree.Rd':
  \usage lines wider than 90 characters:
     predict(object, newdata, type = c("vector", "tree", "class", "where"), split = FALSE, nwts, eps = 0.001, ...)

Rd file 'tsp.gbm.Rd':
  \usage lines wider than 90 characters:
     tsp.gbm(x, y, offset = NULL, misc = NULL, distribution = "bernoulli", w = NULL, var.monotone = NULL, n.trees = 100, interaction.depth = ... [TRUNCATED]

Rd file 'tsp.randomForest.Rd':
  \usage lines wider than 90 characters:
     tsp.randomForest(x, y = NULL, xtest = NULL, ytest = NULL, ntree = 500, type = "classification", mtry = if (!is.null(y) && !is.factor(y) ... [TRUNCATED]

Rd file 'tsp.tree.Rd':
  \usage lines wider than 90 characters:
     tsp.tree(X, response, control = tree.control(dim(X)[1], ...), method = "recursive.partition", split = c("deviance", "gini"), x = FALSE, ... [TRUNCATED]

These lines will be truncated in the PDF manual.
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Packages in Depends field not imported from:
  'gbm' 'glmnet' 'randomForest' 'tree'
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for 'glmnet'
cv.LDCA: no visible global function definition for 'cv.glmnet'
predict.LDCA: no visible global function definition for 'predict'
predict.cv.LDCA: no visible global function definition for 'predict'
predict.tsp.gbm: no visible global function definition for 'predict'
predict.tsp.randomForest: no visible global function definition for
  'predict'
predict.tsp.tree: no visible global function definition for 'predict'
tsp.gbm: no visible global function definition for 'gbm.fit'
tsp.randomForest: no visible global function definition for
  'randomForest'
tsp.tree: no visible global function definition for 'tree.control'
tsp.tree: no visible global function definition for 'tree'
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Packages in Depends field not imported from:
  ‘gbm’ ‘glmnet’ ‘randomForest’ ‘tree’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for ‘glmnet’
cv.LDCA: no visible global function definition for ‘cv.glmnet’
predict.LDCA: no visible global function definition for ‘predict’
predict.cv.LDCA: no visible global function definition for ‘predict’
predict.tsp.gbm: no visible global function definition for ‘predict’
predict.tsp.randomForest: no visible global function definition for
  ‘predict’
predict.tsp.tree: no visible global function definition for ‘predict’
tsp.gbm: no visible global function definition for ‘gbm.fit’
tsp.randomForest: no visible global function definition for
  ‘randomForest’
tsp.tree: no visible global function definition for ‘tree.control’
tsp.tree: no visible global function definition for ‘tree’
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.
Packages in Depends field not imported from:
  'gbm' 'glmnet' 'randomForest' 'tree'
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
LDCAEst: no visible global function definition for 'glmnet'
cv.LDCA: no visible global function definition for 'cv.glmnet'
predict.LDCA: no visible global function definition for 'predict'
predict.cv.LDCA: no visible global function definition for 'predict'
predict.tsp.gbm: no visible global function definition for 'predict'
predict.tsp.randomForest: no visible global function definition for
  'predict'
predict.tsp.tree: no visible global function definition for 'predict'
tsp.gbm: no visible global function definition for 'gbm.fit'
tsp.randomForest: no visible global function definition for
  'randomForest'
tsp.tree: no visible global function definition for 'tree.control'
tsp.tree: no visible global function definition for 'tree'
Undefined global functions or variables:
  cv.glmnet gbm.fit glmnet predict randomForest tree tree.control
Consider adding
  importFrom("stats", "predict")
to your NAMESPACE file.