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Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).
| Version: | 16.1.6 |
| Depends: | R (≥ 3.0.0) |
| Imports: | parallel, grDevices, graphics, stats, utils |
| Suggests: | KernSmooth |
| Published: | 2021-07-09 |
| Author: | Byron Hall [aut], Martina Hall [aut], Statisticat, LLC [aut], Eric Brown [ctb], Richard Hermanson [ctb], Emmanuel Charpentier [ctb], Daniel Heck [ctb], Stephane Laurent [ctb], Quentin F. Gronau [ctb], Henrik Singmann [cre] |
| Maintainer: | Henrik Singmann <singmann+LaplacesDemon at gmail.com> |
| BugReports: | https://github.com/LaplacesDemonR/LaplacesDemon/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/LaplacesDemonR/LaplacesDemon |
| NeedsCompilation: | no |
| Citation: | LaplacesDemon citation info |
| Materials: | README ChangeLog |
| In views: | Bayesian, Distributions |
| CRAN checks: | LaplacesDemon results |
| Reference manual: | LaplacesDemon.pdf |
| Vignettes: |
Bayesian Inference LaplacesDemon Examples LaplacesDemon Tutorial |
| Package source: | LaplacesDemon_16.1.6.tar.gz |
| Windows binaries: | r-devel: LaplacesDemon_16.1.6.zip, r-release: LaplacesDemon_16.1.6.zip, r-oldrel: LaplacesDemon_16.1.6.zip |
| macOS binaries: | r-release (arm64): LaplacesDemon_16.1.6.tgz, r-oldrel (arm64): LaplacesDemon_16.1.6.tgz, r-release (x86_64): LaplacesDemon_16.1.6.tgz, r-oldrel (x86_64): LaplacesDemon_16.1.6.tgz |
| Old sources: | LaplacesDemon archive |
| Reverse depends: | BayesESS, covEB, EpiILM |
| Reverse imports: | ARpLMEC, BayesMassBal, Bayesrel, BCClong, bgsmtr, bmscstan, CHEMIST, DIFM, dlbayes, eDITH, evidence, exdqlm, FourWayHMM, ftsa, hdpGLM, kindisperse, lddmm, metaBMA, MLEce, mvnimpute, networkscaleup, OBASpatial, OLCPM, PoDCall, PROBShiny, pRoloc, RGMM, sklarsomega, SMARTbayesR, tip |
| Reverse suggests: | extraDistr, ivaBSS, matrixNormal |
Please use the canonical form https://CRAN.R-project.org/package=LaplacesDemon to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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