Package: baytaAAR 1.0.3

Nils Müller-Scheeßel

baytaAAR: Bayesian Transition Analysis with Markov Chain Monte Carlo

Provides Bayesian age estimation for bioarchaeological skeletal data using ordinal probit regression models implemented in 'JAGS' and 'NIMBLE'. The package is designed to handle multiple ordinal traits of adult individuals and incorporates a Gompertz prior on age to reflect population-level mortality. It accounts for estimation uncertainties and supports full customization of model parameters and Markov Chain Monte Carlo settings. For more details see Müller-Scheeßel et al. (2026) <doi:10.1002/ajpa.70289>.

Authors:Nils Müller-Scheeßel [aut, cre, cph], Christoph Rinne [aut]

baytaAAR_1.0.3.tar.gz
baytaAAR_1.0.3.zip(r-4.7)baytaAAR_1.0.3.zip(r-4.6)baytaAAR_1.0.3.zip(r-4.5)
baytaAAR_1.0.3.tgz(r-4.6-any)baytaAAR_1.0.3.tgz(r-4.5-any)
baytaAAR_1.0.3.tar.gz(r-4.7-any)baytaAAR_1.0.3.tar.gz(r-4.6-any)
baytaAAR_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
baytaAAR/json (API)
NEWS

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

Bug tracker:https://github.com/isaakiel/baytaaar/issues

Pkgdown/docs site:https://isaakiel.github.io

Datasets:

On CRAN:

Conda:

5.63 score 6 scripts 13 exports 102 dependencies

Last updated from:f4c1e3b7ab. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE195
source / vignettesOK344
linux-release-x86_64NOTE189
macos-release-arm64NOTE144
macos-oldrel-arm64NOTE145
windows-develNOTE206
windows-releaseNOTE117
windows-oldrelNOTE115
wasm-releaseOK148

Exports:age.comp.plotage.comp.summaryage.estim.summarybay.tabay.ta.jagsbay.ta.nimblecorr.mat.meandiagnostic.summarydiagnostics.max.minprob.catsequential.binom.testthreshold.chainsthreshold.matrix

Dependencies:abindassertthatbackportsbbmlebdsmatrixbootbroomcarcarDatacheckmateclicodacolorspacecorrplotcowplotcpp11data.tableDerivdeSolvedoBydplyrevaluatefarverfastGHQuadflexsurvforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrigraphisobandknitrlabelinglatticelifecyclelme4lmtestlsodamagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmstatemuhazmvtnormnimblenlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompracmapurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixrstpm2S7scalesscoringRulesSparseMstatmodstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxfunyamlzoo

Computation framework

Rendered fromcomputation_framework.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2026-05-01
Started: 2026-04-06

Data input

Rendered fromdata_preparation.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2026-05-29
Started: 2026-04-02

Introduction to baytaAAR

Rendered frombaytaAAR.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2026-05-31
Started: 2025-09-07

Mathematical background

Rendered frommathematical_background.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2026-05-07
Started: 2026-04-19

Spitalfields: Comparison with known age-at-death

Rendered fromknown_age.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2026-05-31
Started: 2026-04-02