LM_est: Linear Model Estimation using the nlme package.

In rlme: Rank-Based Estimation and Prediction in Random Effects Nested Models

Description

This gets the REML or ML estimates and predictions of random effects from the nlme package. function does.

Usage

LM_est(x, y, dat, method = "REML")

Arguments

x	Design matrix, (p+1)xn, with intercept.
y	Response vector of nx1.
dat	Data frame
method	Character string indicating method to use, either "ML" or "REML" (defaults to REML).

Value

theta	Fixed effects esimates.
ses	Standard error for fixed effects.
varb	Variances.
sigma	Error.
ehat	Raw residuals
standr.lme	Standardized residual
effect_sch	Cluster random error.
effect_sec	Subcluster random error.
effect_err	Epsilon error.

Author(s)

Yusuf Bilgic

References

J. Pinheiro, D. Bates, S. DebRoy, D. Sarkar and R Development Core Team. nlme linear and non- linear mixed effects models. The R Journal, 2011. URL http://CRAN.R-project.org/package=nlme. R package version 3.1-98.

See Also

rlme

rlme documentation built on May 2, 2019, 3:47 p.m.