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PRIMsrc (version 0.6.3)

PRIM Survival Regression Classification

Description

Performs a unified treatment of Bump Hunting by Patient Rule Induction Method (PRIM) in Survival, Regression and Classification settings (SRC). The current version is a development release that only implements the case of a survival response. New features will be added soon as they are available.

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Install

install.packages('PRIMsrc')

Monthly Downloads

68

Version

0.6.3

License

GPL (>= 3) | file LICENSE

Issues

0

Pull Requests

0

Stars

7

Forks

3

Maintainer

PhD

Last Published

November 20th, 2015

Functions in PRIMsrc (0.6.3)

Synthetic.2

Synthetic Dataset #2:
Synthetic.1b

Synthetic Dataset #1b:
Real.1

Real Dataset #1: Clinical Dataset (
predict.PRSP

Predict Function
Synthetic.1

Synthetic Dataset #1:
PRIMsrc.news

Display the
Synthetic.4

Synthetic Dataset #4:
Synthetic.3

Synthetic Dataset #3:
Real.2

Real Dataset #2: Genomic Dataset (
plot_boxtrace

Visualization of Covariates Traces
PRIMsrc-package

Bump Hunting by Patient Rule Induction Method in Survival, Regression and Classification settings
plot_boxkm

Visualization of Survival Distributions
print.PRSP

Print Function
plot.PRSP

2D Visualization of Data Scatter and Box Vertices
summary.PRSP

Summary Function
plot_boxtraj

Visualization of Peeling Trajectories/Profiles
plot_profile

Visualization for Model Selection/Validation
sbh

Cross-Validated Survival Bump Hunting