How do I cite the lme4 package?
How do I cite the lme4 package?
lme4 citation info. Bates D, Mächler M, Bolker B, Walker S (2015). “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software, 67(1), 1–48. doi: 10.18637/jss.
What is lme4 package?
Description lme4 provides functions for fitting and analyzing mixed models: linear (lmer), generalized linear (glmer) and nonlinear (nlmer.) It also allows more flexibility for specifying different functions for optimizing over the random-effects variance-covariance parameters.
How do you cite lmerTest?
To cite lmerTest in publications use: Kuznetsova A., Brockhoff P.B. and Christensen R.H.B. (2017).
What is difference between LMER and Glmer?
The lmer() function is for linear mixed models and the glmer() function is for generalized mixed models. For generalized mixed models the familyName sets the link and variance function for the model. We will use the binomial family in this article.
How do you cite NLME packages?
To cite package ‘nlme’ in publications use: Jose Pinheiro, Douglas Bates, Saikat DebRoy, Deepayan Sarkar and the R Development Core Team (2013). nlme: Linear and Nonlinear Mixed Effects Models.
How do you cite a package in R?
citation() To cite R in publications use: R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
What does nAGQ 0 mean?
Without being too specific (and therefore perhaps too technical), nAGQ = 0 means that the random effects only influence the estimates of the fixed effects through their estimated conditional modes — therefore, nAGQ = 0 does not completely account for the randomness of the random effects.
What is random effect model in statistics?
In statistics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables. In econometrics, random effects models are used in panel analysis of hierarchical or panel data when one assumes no fixed effects (it allows for individual effects).
How do you cite a program in R?
To cite R in publications use: R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
Should I use LMER or Glmer?
About the repeated measurement design, both lmer and glmer can handle it equally well, you just have to set ‘subject’ as a grouping factor (in the random-effect part of the model) for the within-subject predictors.
What does Glmer mean?
glmer: Fitting Generalized Linear Mixed-Effects Models.
What is NLME package?
nlme is a package for fitting and comparing linear and nonlinear mixed effects models. It let’s you specify variance-covariance structures for the residuals and is well suited for repeated measure or longitudinal designs.