misc: Internal helper functions

In htree: Historical Tree Ensembles for Longitudinal Data

Description

Helper functions

Usage

hrf_boot(object,B=50,R=10)
predict_viaux(trees,x,oob,id,time,yindx,concurrent,nconcurrent,
	historic,nhistoric,delta,delta0,type,quantiles,nperm,rf=1,ncat=-10)
partdep(object,xindx,xlim=NULL,ngrid=100,ntrees=NULL,
	subsample=1,which.class=1,se=FALSE,cond=NULL)

Arguments

object	An object of class htree.
B	Number of bootstrap samples.
R	Ensemble size for each bootstrap sample.
trees	Matrix with trees.
x	Data matrix.
oob	OOB matrix.
id	Vector of subject id's.
time	Vector of observation times.
yindx	Column index of response variable in x.
concurrent	Concurrent predictors.
nconcurrent	Number of concurrent predictors.
historic	Historic predictors.
nhistoric	Number of historic predictors.
delta	Delta values.
delta0	Delta0 values.
type	Type of historical summary function.
quantiles	Quantiles to be used in summary function, if applicable.
nperm	Number of permutations for variable importance.
rf	Indicator for random forest model or not.
ncat	Number of categories.
xindx	Column index for partial dependence variable.
xlim	Range of values in plot.
ngrid	Number of grid points.
ntrees	Number of trees.
subsample	Sub-sample fraction.
which.class	Which class to plot partial dependence for.
se	Logical for whether to return standard errors.
cond	Logical subsetting.

Details

These functions are used internally by htree.

htree documentation built on May 1, 2019, 9:11 p.m.