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PRIMsrc (version 0.5.8)

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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Version

Install

install.packages('PRIMsrc')

Monthly Downloads

68

Version

0.5.8

License

GPL (>= 3) | file LICENSE

Issues

0

Pull Requests

0

Stars

7

Forks

3

Maintainer

PhD

Last Published

August 29th, 2015

Functions in PRIMsrc (0.5.8)

Synthetic.2

Synthetic Dataset #2: $p < n$ case
plot_scatter

2D Visualization of Data Scatter and Box Vertices
Synthetic.5

Synthetic Dataset #5: $p > n$ case
Synthetic.3

Synthetic Dataset #3: $p < n$ case
plot_boxtrace

Visualization of Covariates Traces
Real.2

Real Dataset #2: Genomic Dataset ($p >> n$ case)
plot_profile

Visualization for Model Selection/Validation
predict.PRSP

Predict Function
Synthetic.4

Synthetic Dataset #4: $p < n$ case
plot_boxkm

Visualization of Survival Distributions
PRIMsrc-package

Bump Hunting by Patient Rule Induction Method in Survival, Regression and Classification settings
print.PRSP

Print Function
summary.PRSP

Summary Function
Synthetic.1

Synthetic Dataset #1: $p < n$ case
PRIMsrc.news

Display the PRIMsrc Package News
plot_boxtraj

Visualization of Peeling Trajectories/Profiles
sbh

Cross-Validated Survival Bump Hunting
Real.1

Real Dataset #1: Clinical Dataset ($p < n$ case)