Package: moultmcmc 0.1.0.9001

moultmcmc: Bayesian Inference for Avian Moult Phenology Models

Precompiled Stan models to conduct full Bayesian inference in regression models for the phenology of avian primary moult based on the approach of Underhill & Zucchini (1988) <doi:10.1111/j.1474-919X.1988.tb00993.x> and related hierarchical models to accommodate repeated-measures data (within-season recaptures of individuals).

Authors:Philipp Boersch-Supan [aut, cre]

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moultmcmc_0.1.0.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
moultmcmc/json (API)

# Install 'moultmcmc' in R:
install.packages('moultmcmc', repos = c('https://pboesu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pboesu/moultmcmc/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • recaptures - Simulated moult scores for 235 individuals with no heterogeneity in duration
  • recaptures2 - Simulated moult scores for 235 individuals with heterogeneity in durations
  • siskins - Moult records of Eurasian Siskins
  • weavers_processed - Moult records of Southern Masked Weavers

On CRAN:

Conda:

onetbbcpp

4.69 score 4 stars 1 packages 27 scripts 8 exports 61 dependencies

Last updated from:fe46a53efa. Checks:14 FAIL, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64FAIL125
linux-devel-x86_64FAIL151
source / vignettesOK1414
linux-release-arm64FAIL128
linux-release-x86_64FAIL147
macos-release-arm64FAIL66
macos-release-x86_64FAIL123
macos-oldrel-arm64FAIL91
macos-oldrel-x86_64FAIL229
windows-devel-arm64FAIL296
windows-devel-x86_64FAIL83
windows-release-arm64FAIL164
windows-release-x86_64FAIL68
windows-oldrel-x86_64FAIL89
wasm-releaseFAIL165

Exports:compare_plotconsolidate_moult_recordsfixefmoult_plotmoultmcmcranefresidual_plotsummary_table

Dependencies:abindbackportsBHcallrcheckmateclicowplotcpp11descdistributionaldplyrfarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmoultnlmenumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Extended moult models
Lumped models | Repeated measures moult models | Mixed moult records | References
Rendered fromextended-moult-models.Rmdusingknitr::rmarkdown

Last update: 2023-01-06
Started: 2022-10-12

Getting started with moultmcmc
References
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2022-12-14
Started: 2021-06-04

Moult data likelihoods and model priors
Likelihoods | Type 1 | Type 2 | Lumped Type 2 | Type 3 | Type 4 | Type 5 | Type 1 + 2 | Recapture models | Priors | References
Rendered frommoult-likelihoods.Rmdusingknitr::rmarkdown

Last update: 2022-12-14
Started: 2021-06-03