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.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✨
DESCRIPTION |NEWS
card.svg |card.png
baytaAAR/json (API)

# Install 'baytaAAR' in R:

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

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

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

Datasets:

sorsum_as - Sorsum: Example dataset
spitalfields - Spitalfields: Example dataset

On CRAN:

3.40 score 6 scripts 13 exports 102 dependencies

Last updated from:e006a1ec1e. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	192
source / vignettes	OK	335
linux-release-x86_64	OK	181
wasm-release	OK	149

Exports:age.comp.plot age.comp.summary age.estim.summary bay.ta bay.ta.jags bay.ta.nimble corr.mat.mean diagnostic.summary diagnostics.max.min prob.cat sequential.binom.test threshold.chains threshold.matrix

Dependencies:abind assertthat backports bbmle bdsmatrix boot broom car carData checkmate cli coda colorspace corrplot cowplot cpp11 data.table Deriv deSolve doBy dplyr evaluate farver fastGHQuad flexsurv forecast Formula fracdiff generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable highr igraph isoband knitr labeling lattice lifecycle lme4 lmtest lsoda magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr mstate muhaz mvtnorm nimble nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig polynom pracma purrr quadprog quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rstatix rstpm2 S7 scales scoringRules SparseM statmod stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr xfun yaml zoo

Computation framework

JAGS vs. NIMBLE vs. Stan | Parallel processing and number of chains | References

Rendered fromcomputation_framework.Rmdusingknitr::rmarkdown