lme and nlme
نویسندگان
چکیده
Mixed-effects models are frequently used to analyze grouped data, because they flexibly model the within-group correlation often present in this type of data. Examples of grouped data include longitudinal data, repeated measures data, multilevel data, and split-plot designs. We describe a set of S functions, classes, and methods for the analysis of linear and nonlinear mixed-effects models. These extend the model-ing facilities available in release 3 of S and releases 3.4 and 4 of S-PLUS. Help files for all functions and methods described here are included in the PostScript file HelpFunc.ps, which is included with the nlme distribution .
منابع مشابه
Package ‘ bear ’
June 29, 2010 Version 2.5.3 Date 2010-06-25 Title Average bioequivalence and bioavailability data analysis tool Author Hsin-ya Lee, Yung-jin Lee Maintainer Yung-jin Lee Depends R (>= 2.10.0), reshape, nlme, sciplot, plotrix, ICSNP, gdata Description An average bioequivalence (ABE) and bioavailability data analysis tool including sample size estimation, noncompartmental anal...
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Title Average bioequivalence and bioavailability data analysis tool Author Hsin-ya Lee , Yung-jin Lee Maintainer Hsin-ya Lee Description An average bioequivalence (ABE) and bioavailability data analysis tool including sample size estimation, noncompartmental analysis (NCA), ANOVA (lm) for a standard RT/TR 2x2x2 crossover design and...
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