dfl1: Obtain degrees of freedom for l1ADMM objects

In bdsegal/psplinesl1: P-splines with an l_1 penalty for repeated measures

Description

This function obtains degrees of freedom estimates for models fit with the admm function. Usually called from within admm.

Usage

dfl1(tau, lambda, X, wNew, Z, S, SSE, sumn, sigma2b, uniUpper = uniUpper)

Arguments

tau	vector of smoothing parameters for random effects
lambda	scalar smoothing parameter for fixed effects
X	list of fixed effect design matrices setup by l1smooth
wNew	list of updated w parameters in ADMM algorithm
Z	random effect design matrix setup by randomEffects
S	random effect penalty matrix setup by randomEffects

Examples

dfTable <- dfl1(tau, lambda, X, wNew, Z, S)

bdsegal/psplinesl1 documentation built on July 22, 2019, 11:38 a.m.