predict.srp.l

An object of class 'srp.l', returned by <code><a rd-options="" href="/link/srp.l?package=srp&version=1.2.0" data-mini-rdoc="srp::srp.l">srp.l</a></code>.

object

A new matrix you wish to fit Smooth-Rough Partition model. The dimension of row is the number of covariates.

Further parameters that can be passed to <code><a rd-options="" href="/link/predict.srp.l?package=srp&version=1.2.0" data-mini-rdoc="srp::predict.srp.l">predict.srp.l</a></code>.

This function performs the predictions from the results of Smooth-Rough Partition fitting.

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.

Hyeyoung Maeng

Smooth-Rough Partitioning of the Regression Coefficients

Piotr Fryzlewicz

predict.srp.l function

An object of class 'srp.l', returned by <code><a rd-options='' href='srp.l'>srp.l</a></code>.

Further parameters that can be passed to <code><a rd-options='' href='predict.srp.l'>predict.srp.l</a></code>.

predict.srp.l: The Smooth-Rough Partition model prediction

Description

Usage

Arguments

Value

Details

See Also