CCRls.coord: Linear regression via coordinate descent with covariate...

In cluscov: Clustered Covariate Regression

Description

This function is a wrapper for linrclus. It requires less input.

Usage

CCRls.coord(Y, X, k, nC = 1, ...)

Arguments

Y	vector of outcome variable
X	matrix of covariates. Should not include 1's for the intercept
k	number of clusters
nC	first nC-1 covariates in X not to cluster. Must be at least 1 for the intercept
...	additional parameters to be passed to lm

Value

mobj the low dimension lm regression object

clus cluster assignments of covariates (excluding the first nC covariates - including the intercept 1)

Examples

set.seed(14) #Generate data
N = 1000; (bets = rep(-2:2,4)); p = length(bets); X = matrix(rnorm(N*p),N,p)
Y = cbind(1,X)%*%matrix(c(0.5,bets),ncol = 1)
CCRls.coord(Y,X,k=5,nC=1)

cluscov documentation built on June 4, 2019, 5:04 p.m.