BFpack (0.1.0)

0 users

Flexible Bayes Factor Testing of Scientific Expectations.

http://cran.r-project.org/web/packages/BFpack

Implementation of various default Bayes factors for testing statistical hypotheses. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., regression coefficients), variances (e.g., group variances), and measures of association (e.g,. bivariate correlations). The statistical underpinnings are described in Mulder, Hoijtink, and Xin (2019) , Mulder and Gelissen (2019) , Mulder (2016) , Mulder and Fox (2019) , Mulder and Fox (2013) , Boeing-Messing, van Assen, Hofman, Hoijtink, and Mulder , Hoijtink, Mulder, van Lissa, and Gu, (2018) , Gu, Mulder, and Hoijtink, (2018) , Hoijtink, Gu, and Mulder, (2018) , and Hoijtink, Gu, Mulder, and Rosseel, (2018) .

Maintainer: Joris Mulder
Author(s): Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Xin Gu [aut], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Barry Brown [ctb], James Lovato [ctb], Kathy Russell [ctb], Lapack 3.8 [ctb], Jack Dongarra [ctb], Jim Bunch [ctb], Cleve Moler [ctb], Gilbert Stewart [ctb], John Burkandt [ctb], Ashwith Rego [ctb], Alexander Godunov [ctb], Alan Miller [ctb], Jean-Pierre Moreau [ctb], The R Core Team [cph]

License: GPL (>= 3)

Uses: bain, lme4, MASS, Matrix, MCMCpack, mvtnorm, pracma, pscl, survival, polycor, testthat

Released about 1 month ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of BFpack yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for BFpack on google, google scholar, r-help, r-devel.

Visit BFpack on R Graphical Manual.