R: gbm internal functions

guessDist {gbm} | R Documentation

## gbm internal functions

### Description

Helper functions for preprocessing data prior to building a `"gbm"` object.

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

### Details

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

[Package gbm version 2.1.8 Index]