lme4: Mixed-effects modeling with R 来自 ResearchGate 喜欢 0 阅读量: 312 作者: Douglas M Bates 摘要: 10 1.3.3 Further Assessment of the Fitted Models . We describe methods of assessing the precisionof the parameter estimates and of visualizing the conditional distribution of the random ...
Chapter drafts of the book lme4: Mixed-effects Modeling with R are available here. To complete this quick post, I append the following vignettes. Implementation Details PLS vs GLS for LMMs Computational Methods [source] ShareTweet To leave a comment for the author, please follow the link and...
rmodelingtidyverselme4 UpdatedNov 5, 2023 R m-clark/mixedup Star68 Code Issues Pull requests An R package for extracting results from mixed models that are easy to use and viable for presentation. brmsvariance-componentsmixed-modelsmgcvrandom-effectslme4nlmerandom-coefficientsglmmtmb ...
Modeling item-level heterogeneous treatment effects: A tutorial with the glmer function from the lme4 package in RCausal inferenceTreatment heterogeneityExplanatory item response modelEducational measurementRlme4Recent advancements in education scholarship have introduced Item Response Theory (IRT) models to ...
The Estimation of Item Response Models with the lmer Function from the lme4 Package in R In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an ... PD Boeck,M Bakker,R Zwitser,.....
lmerTest Package: Tests in Linear Mixed Effects Models One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects returned by lmer? The lmerTest package extends the 'lmerMod' class of ...