nlme: Linear and Nonlinear Mixed Effects Models

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

Version: 3.1-104
Priority: recommended
Depends: graphics, stats, R (≥ 2.13)
Imports: lattice
Suggests: Hmisc, MASS
Published: 2012-05-23
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, OfficialStatistics, SocialSciences, Spatial
CRAN checks: nlme results

Downloads:

Package source: nlme_3.1-104.tar.gz
MacOS X binary: nlme_3.1-104.tgz
Windows binary: nlme_3.1-104.zip
Reference manual: nlme.pdf
News/ChangeLog:ChangeLog
Old sources: nlme archive

Reverse dependencies:

Reverse depends: abd, AdaptFit, AdaptFitOS, amer, assist, bear, calibFit, cccrm, cem, cg, coxme, CpGassoc, ctarma, dlmap, DPpackage, drc, ergm, far, FlexParamCurve, FunNet, gamlss, gbs, gcmr, glmmBUGS, GRRGI, GWAF, HydroMe, insideRODE, IPMpack, ipw, JM, joineR, JoSAE, likelihood, lmeSplines, lmmfit, longRPart, LoopAnalyst, MARSS, meboot, metafor, MethComp, mixlow, MLPAstats, multilevel, NetworkAnalysis, nlmeODE, nlrwr, orQA, picante, PKtools, plm, portfolio, ProfileLikelihood, psychometric, ramps, randomLCA, REEMtree, RHmm, SemiPar, spdep, sphet, splm, SRMA, tonymisc, tsDyn, TTAinterfaceTrendAnalysis
Reverse imports: ape, eba, ibr, lme4, mgcv, MixMod, psychometric, RMark, SMPracticals, urca
Reverse suggests: AER, agridat, AICcmodavg, bsml, car, contrast, data.table, directlabels, effects, Epi, fda, ggplot2, gmodels, heplots, latticedl, ldDesign, MASS, MBESS, MFDF, mgcv, mice, mratios, multcomp, MuMIn, MVA, mvmeta, npmlreg, pgirmess, primer, psyphy, R2HTML, Rcmdr, RcmdrPlugin.IPSUR, regress, RLRsim, rms, rsae, secr, sfsmisc, simex
Reverse enhances: FlexParamCurve