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 |