babar: Bayesian Bacterial Growth Curve Analysis in R

Babar is designed to use nested sampling (a Bayesian analysis technique) to compare possible models for bacterial growth curves, as well as extracting parameters. It allows model evidence and parameter likelihood values to be extracted, and also contains helper functions for comparing distributions as well as direct access to the underlying nested sampling code.

Version: 1.0
Suggests: knitr, R.rsp
Published: 2015-02-24
Author: Lydia Rickett, Matthew Hartley, Richard Morris and Nick Pullen
Maintainer: Matthew Hartley <Matthew.Hartley at jic.ac.uk>
License: GPL-2
NeedsCompilation: no
In views: Bayesian
CRAN checks: babar results

Documentation:

Reference manual: babar.pdf
Vignettes: Comparing distributions with nested sampling
Fitting a single data curve
Comparing two growth curves

Downloads:

Package source: babar_1.0.tar.gz
Windows binaries: r-devel: babar_1.0.zip, r-release: babar_1.0.zip, r-oldrel: babar_1.0.zip
macOS binaries: r-release (arm64): babar_1.0.tgz, r-release (x86_64): babar_1.0.tgz, r-oldrel: babar_1.0.tgz

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