baker: Nested Partially Latent Class Models

Provides functions to specify, fit and visualize nested partially-latent class models (Wu et al., 2016, 'JRSS-C' <doi:10.1111/rssc.12101>; Wu et al., 2017, 'Biostatistics' <doi:10.1093/biostatistics/kxw037>; Wu and Chen, 2021, Statistics in Medicine <doi:10.1002/sim.8804>) for inference of population disease etiology and individual diagnosis. In the motivating Pneumonia Etiology Research for Child Health (PERCH) study, because both quantities of interest sum to one hundred percent, the PERCH scientists frequently refer to them as "population etiology pie" and "individual etiology pie", hence the name of the package.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: rjags (≥ 4-6), R2jags (≥ 0.5), lubridate (≥ 1.3), binom (≥ 1.1), coda (≥ 0.16), robCompositions (≥ 2.0.3), ggplot2 (≥ 1.0), ggpubr (≥ 0.4.0), gridExtra (≥ 2.0), reshape2 (≥ 1.4), mgcv (≥ 1.8-6), mvbutils (≥, shinyFiles (≥ 0.6), shinydashboard (≥ 0.5.1), stats, utils, abind
Suggests: spelling, knitr, testthat, rmarkdown, covr, knitcitations
Published: 2022-02-02
Author: Zhenke Wu ORCID iD [cre, aut, cph], Scott Zeger ORCID iD [aut], John Muschelli ORCID iD [ctb], Irena Chen ORCID iD [ctb]
Maintainer: Zhenke Wu <zhenkewu at>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: JAGS (>= 4.1.0) (
Language: en-US
Citation: baker citation info
Materials: README NEWS
CRAN checks: baker results


Reference manual: baker.pdf
Vignettes: Vignettes for baker: An R package for fitting nested partially latent class models


Package source: baker_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): baker_1.0.0.tgz, r-release (x86_64): not available, r-oldrel: not available


Please use the canonical form to link to this page.