Helper functions
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)An object of class htree.
Number of bootstrap samples.
Ensemble size for each bootstrap sample.
Matrix with trees.
Data matrix.
OOB matrix.
Vector of subject id's.
Vector of observation times.
Column index of response variable in x.
Concurrent predictors.
Number of concurrent predictors.
Historic predictors.
Number of historic predictors.
Delta values.
Delta0 values.
Type of historical summary function.
Quantiles to be used in summary function, if applicable.
Number of permutations for variable importance.
Indicator for random forest model or not.
Number of categories.
Column index for partial dependence variable.
Range of values in plot.
Number of grid points.
Number of trees.
Sub-sample fraction.
Which class to plot partial dependence for.
Logical for whether to return standard errors.
Logical subsetting.
These functions are used internally by htree.