# Contrast Trees and Boosting

## Documentation for package ‘conTree’ version 0.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

conTree-package | Contrast and Boosted Trees
age_data | Age and Demographics data
air_quality | Air Quality Data from UC Irvine Machine Learning Repository
bootcri | Build contrast tree
census | Census Data Example from UC Irvine Machine Learning Repository
contrast | Build contrast tree
getnodes | Get terminal node observation assignments
lofcurve | Produce lack-of-fit curve for a contrast tree
modtrast | Build contrast tree
nodeplots | Summarize contrast tree
nodesum | Summarize contrast tree
onesample_parameters | Return the one sample parameters used in fortran discrepancy functions
predtrast | Predict y-values from boosted contrast model
prune | Prune a contrast tree
prune.seq | Show all possible pruned subtrees
save_rfun | Save the function f for calling from fortran
treesum | Print terminal node x-region boundaries
twosample_parameters | Return the one sample parameters used in fortran discrepancy functions
xval | Cross-validate boosted contrast tree boosted with (new) data
ydist | Transform z-values t(z) such that the distribution of p(t(z) | x) approximates p(t(y | x) for type = 'dist' only