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plrs (version 1.12.0)

Piecewise Linear Regression Splines (PLRS) for the association between DNA copy number and gene expression

Description

The present package implements a flexible framework for modeling the relationship between DNA copy number and gene expression data using Piecewise Linear Regression Splines (PLRS).

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Version

Version

1.12.0

License

GPL (>=2.0)

Maintainer

Gwenael GR Leday to

Last Published

February 15th, 2017

Functions in plrs (1.12.0)

criteria

Compute AIC, AICC, BIC and OSAIC for a given plrs model.
plrs-package

Piecewise Linear Regression Splines (PLRS) for the association between DNA copy number and mRNA expression
neveCN17

Copy number for chromosome 17.
plrs-class

Class plrs
plrs.select-class

Class plrs.select
modify.conf

Modify the configuration (of calls) of the plrs model
plrs.cb

Uniform confidence bands (CB) for plrs models
plot-methods

Plot functions in package 'plrs'
plrs.test

Likelihood ratio test for a plrs model
neveGE17

mRNA expression for chromosome 17.
plrs.series-class

Class plrs.series
predict.plrs

Predict method for plrs models
plrs.sim

Simulation of a plrs model
plrs

Fit a (constrained) piecewise linear regression spline
plrs.series

Fit plrs models for a series of arrays.
plrs.select

Model selection