Implementation of a Bayesian active learning strategy to carry out sequential experimental design in the context of biochemical network kinetic parameter estimation. This package gathers functions and pre-computed data sets to reproduce results presented in Pauwels E. et. al published in BMC Systems Biology, 2014. Scripts are given to compute all results from scratch or to draw pictures based on pre-computed data sets.
| Version: | 1.0 |
| Depends: | deSolve, ggplot2, R (≥ 2.10) |
| Published: | 2014-08-23 |
| Author: | Edouard Pauwels |
| Maintainer: | Edouard Pauwels <pauwelsed at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | pauwels2014 results |
| Reference manual: | pauwels2014.pdf |
| Vignettes: |
Bayesian experimental design for systems biology: reproduce results |
| Package source: | pauwels2014_1.0.tar.gz |
| Windows binaries: | r-devel: pauwels2014_1.0.zip, r-release: pauwels2014_1.0.zip, r-oldrel: pauwels2014_1.0.zip |
| macOS binaries: | r-release: pauwels2014_1.0.tgz, r-oldrel: pauwels2014_1.0.tgz |
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