R-bpnreg (R/R-bpnreg) Updated: 4 months ago Add to my watchlist

Bayesian projected normal regression models for circular data

Fitting Bayesian multiple and mixed-effect regression models for circular data based on the projected normal distribution. Both continuous and categorical predictors can be included. Sampling from the posterior is performed via an MCMC algorithm. Posterior descriptives of all parameters, model fit statistics and Bayes factors for hypothesis tests for inequality constrained hypotheses are provided.

Version: 2.0.3 License: GPL-3

GitHub

Maintainers	barracuda156
Categories	science math R
Homepage	https://github.com/joliencremers/bpnreg
Platforms	darwin
Variants	clang10 (Build using the MacPorts clang 10 compiler) clang11 (Build using the MacPorts clang 11 compiler) clang12 (Build using the MacPorts clang 12 compiler) clang13 (Build using the MacPorts clang 13 compiler) clang14 (Build using the MacPorts clang 14 compiler) clang15 (Build using the MacPorts clang 15 compiler) clang16 (Build using the MacPorts clang 16 compiler) clang50 (Build using the MacPorts clang 5.0 compiler) clang60 (Build using the MacPorts clang 6.0 compiler) clang70 (Build using the MacPorts clang 7.0 compiler) clang80 (Build using the MacPorts clang 8.0 compiler) clang90 (Build using the MacPorts clang 9.0 compiler) clangdevel (Build using the MacPorts clang devel compiler) g95 (Build using the g95 Fortran compiler) gcc10 (Build using the MacPorts gcc 10 compiler) gcc11 (Build using the MacPorts gcc 11 compiler) gcc12 (Build using the MacPorts gcc 12 compiler) gcc13 (Build using the MacPorts gcc 13 compiler) gccdevel (Build using the MacPorts gcc devel compiler) gfortran (Build using the MacPorts gcc 13 Fortran compiler)

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R-bpnreg (R/R-bpnreg) Updated: 4 months ago Add to my watchlist