R: gbm internal functions

gbm-internal {gbm} | R Documentation

## gbm internal functions

### Description

Helper functions for preprocessing data prior to building the model

### Usage

    guessDist(y)
    getCVgroup(distribution, class.stratify.cv, y, i.train, cv.folds, group)
    getStratify(strat, d)
    checkMissing(x, y)
    checkWeights(w, n)
    checkID(id)
    checkOffset(o, y)
    getVarNames(x)
    gbmCluster(n)

### Arguments

`y` | The response variable
`d, distribution` | The distribution, either specified by the user or implied
`class.stratify.cv` | Whether or not to stratify, if provided by the user
`i.train` | Computed internally by `gbm`
`group` | The group, if using `distibution='pairwise'`
`strat` | Whether or not to stratify
`cv.folds` | The number of cross-validation folds
`x` | The design matrix
`id` | The interaction depth
`w` | The weights
`n` | The number of cores to use in the cluster.
`o` | The offset

### Details

These are functions used internally by `gbm` and not intended for direct use by the user.

[Package gbm version 2.1.3 Index]