nlme: Linear and Nonlinear Mixed Effects Models

Fit and compare Gaussian linear and nonlinear mixed-effects models.

Version: 3.1-96
Priority: recommended
Depends: graphics, stats, R (≥ 2.4.0)
Imports: lattice
Published: 2009-10-15
Author: Jose Pinheiro (S version), Douglas Bates (up to 2007), Saikat DebRoy (up to 2002), Deepayan Sarkar (up to 2005), the R Core team.
Maintainer: R-core <R-core at R-project.org>
License: GPL (≥ 2)
Citation: nlme citation info
In views: ChemPhys, Econometrics, Environmetrics, SocialSciences, Spatial
CRAN checks: nlme results

Downloads:

Package source: nlme_3.1-96.tar.gz
MacOS X binary: nlme_3.1-96.tgz
Windows binary: nlme_3.1-96.zip
Reference manual: nlme.pdf
News/ChangeLog:ChangeLog
Old sources: nlme archive

Reverse dependencies:

Reverse depends: AdaptFit, DPpackage, FunNet, GRRGI, HydroMe, JM, LoopAnalyst, PKtools, REEMtree, RHmm, SemiPar, agce, arrayImpute, bear, bs, calib, cem, drc, eba, far, gbs, ig, kinship, lmeSplines, longRPart, meboot, mixlow, mmlcr, multilevel, nlmeODE, nlrwr, pheno, picante, plm, portfolio, psychometric, ramps, randomLCA, spdep
Reverse imports: ape, mgcv, psychometric, urca
Reverse suggests: AER, AICcmodavg, Design, Epi, MASS, MBESS, MFDF, R2HTML, RLRsim, Rcmdr, RcmdrPlugin.IPSUR, aod, bbmle, contrast, dlmap, fda, gmodels, latticedl, mgcv, mice, multcomp, npmlreg, pgirmess, primer, psyphy, rms, simex