Package: tmbstan 1.2.1

tmbstan: MCMC Sampling from 'TMB' Model Object using 'Stan'

Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <doi:10.1371/journal.pone.0197954>.

Authors:Kasper Kristensen [aut, cre], Andrew Johnson [ctb], Cole Monnahan [ctb]

tmbstan_1.2.1.tar.gz
tmbstan_1.2.1.zip(r-4.7-x86_64)tmbstan_1.2.1.zip(r-4.7-arm64)tmbstan_1.2.1.zip(r-4.6-x86_64)tmbstan_1.2.1.zip(r-4.6-arm64)tmbstan_1.2.1.zip(r-4.5-x86_64)
tmbstan_1.2.1.tgz(r-4.6-x86_64)tmbstan_1.2.1.tgz(r-4.6-arm64)tmbstan_1.2.1.tgz(r-4.5-x86_64)tmbstan_1.2.1.tgz(r-4.5-arm64)
tmbstan_1.2.1.tar.gz(r-4.7-arm64)tmbstan_1.2.1.tar.gz(r-4.7-x86_64)tmbstan_1.2.1.tar.gz(r-4.6-arm64)tmbstan_1.2.1.tar.gz(r-4.6-x86_64)
tmbstan_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tmbstan/json (API)

# Install 'tmbstan' in R:

install.packages('tmbstan', repos = c('https://kaskr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kaskr/tmbstan/issues

Uses libs:

onetbb– Parallelism library for C++
c++– GNU Standard C++ Library v3

On CRAN:

onetbb cpp

9.00 score 34 stars 2 packages 293 scripts 1.4k downloads 1 mentions 1 exports 50 dependencies

Last updated from:38e20762ac. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	211
linux-devel-x86_64	OK	268
source / vignettes	OK	377
linux-release-arm64	OK	241
linux-release-x86_64	OK	255
macos-release-arm64	OK	201
macos-release-x86_64	OK	650
macos-oldrel-arm64	OK	136
macos-oldrel-x86_64	OK	458
windows-devel-arm64	OK	322
windows-devel-x86_64	OK	262
windows-release-arm64	OK	356
windows-release-x86_64	OK	244
windows-oldrel-x86_64	OK	299
wasm-release	OK	193