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srp (version 1.2.0)

Smooth-Rough Partitioning of the Regression Coefficients

Description

Performs the change-point detection in regression coefficients of linear model by partitioning the regression coefficients into two classes of smoothness. The change-point and the regression coefficients are jointly estimated.

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Version

Install

install.packages('srp')

Monthly Downloads

135

Version

1.2.0

License

GPL

Maintainer

Last Published

April 24th, 2019

Functions in srp (1.2.0)

truebeta

A dataset containing true regression coefficients for simulation
predict.srp.l

The Smooth-Rough Partition model prediction
sic.c

Optimisation of the Smooth-Rough Partition model
srp.c

The Smooth-Rough Partition model fitting
sic.l

Optimisation of the (simpler) Smooth-Rough Partition model
srp

srp: Detecting the change-point of smoothness in linear regression coefficients
srp.l

The (simpler) Smooth-Rough Partition linear regression model fitting
ncs

The natural cubic spline interpolation
predict.srp.c

The Smooth-Rough Partition model prediction