| simex-package {simex} | R Documentation |
Package simex is an implementation of the SIMEX–algorithm by Cook
and Stephanski and the MCSIMEX–Algorithm by Küchenhof, Mwalili and Lesaffre.
| Package: | simex |
| Type: | Package |
| Version: | 1.4 |
| Date: | 2009-04-19 |
| License: | GPL 2 or above |
| LazyLoad: | yes |
The package includes first of all the implementation for the SIMEX– and MCSIMEX–Algorithms. Jackknife and asymptotic variance estimation are implemented. Various methods and analytic tools are provided for a simple and fast access to the SIMEX– and MCSIMEX–Algorithm.
Functions simex() and mcsimex() can be used on models issued
from lm(), glm() with asymtotic estimation.
Models from nls(), gam() (package mgcv),
lme() and nlme() (package nlme) can also be corrected with
these algorithms, but without asymptotic estimations.
Wolfgang Lederer
Maintainer: Wolfgang Lederer,wolfgang.lederer@googlemail.com
Lederer, W. and Küchenhoof, H. (2006) A short introduction to the SIMEX and MCSIMEX. R News, 6/4, 26 – 31
and for functions generating the initial naive models:
lm, glm, nls,
gam, lme, nlme
# See example(simex) and example(mcsimex)