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bmlm is an R package providing convenient methods for Bayesianestimation of multilevel mediation models usingStan.

The package’s source code is hosted onGitHub. More information can befound on thebmlm’s website.

Please ensure you have the latest version of R installed. Windows usersmay need to install RTools, and OS X users may need to install XCode(seehttps://github.com/stan-dev/rstan/wiki/RStan-Getting-Started.

To install the latest stable version of bmlm from CRAN, run

install.packages("bmlm")

Sometimes the stable version on CRAN is not the latest version of bmlm.bmlm is developed on GitHub, and users may obtain the latest(development) version from GitHub directly.

The latest development version of bmlm requiresremotes for installation.If you don’t have the remotes package installed in R, first run thisline:

install.packages("remotes")

Then proceed to install bmlm from GitHub:

remotes::install_github("mvuorre/bmlm")

Please contact the author of the package for questions and suggestions.I recommend creating a new issue on GitHub.

If you use this software, please cite it:

citation("bmlm")#> To cite package 'bmlm' in publications use:#>#>   Vuorre M, Bolger N (2018). "Within-subject mediation analysis for#>   experimental data in cognitive psychology and neuroscience."#>   _Behavior Research Methods_. doi:10.3758/s13428-017-0980-9#>   <https://doi.org/10.3758/s13428-017-0980-9>.#>#>   Vuorre M (2023). _bmlm: Bayesian Multilevel Mediation_. R package#>   version 1.3.15, <https://CRAN.R-project.org/package=bmlm>.#>#> To see these entries in BibTeX format, use 'print(<citation>,#> bibtex=TRUE)', 'toBibtex(.)', or set#> 'options(citation.bibtex.max=999)'.