penalty: This function gives the penalty functions

In interep: Interaction Analysis of Repeated Measure Data

This function gives the penalty functions

Description

This function gives the penalty functions

Usage

penalty(x, n, p, q, beta, lam1, pmethod, p1, lam2)

Arguments

x	matrix of covariates.
n	the sample size.
p	the number of predictors.
q	the number of environment factors.
beta	the coefficient vector.
lam1	the tuning parameter lambda1 for individual penalty.
pmethod	the penalization method. "mixed" refers to MCP penalty to individual main effects and group MCP penalty to interactions; "individual" means MCP penalty to all effects.
p1	the number of gene factors.
lam2	the tuning parameter lambda2 for group penalty.

Value

E	the penalty function.

interep documentation built on May 29, 2024, 8:52 a.m.