A set of statistical tools for inferring unknown parameters in continuous time processes governed by ordinary differential equations (ODE). Moreover, variance reduction and model selection can be obtained through various implemented penalisation schemes. The package offers two estimation procedures: exact estimation via least squares and a faster approximate estimation via inverse collocation methods. All estimators can handle multiple data sets arising from the same ODE system, but subjected to different interventions.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | Matrix (≥ 1.2-9), glmnet (≥ 2.0-10), Rcpp (≥ 0.12.11), methods (≥ 3.4), stats (≥ 3.4), nnls (≥ 1.4) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown, devtools |
| Published: | 2017-10-29 |
| Author: | Frederik Vissing Mikkelsen [aut, cre] |
| Maintainer: | Frederik Vissing Mikkelsen <mifretz at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| CRAN checks: | episode results |
| Reference manual: | episode.pdf |
| Vignettes: |
Vignette Title |
| Package source: | episode_1.0.0.tar.gz |
| Windows binaries: | r-devel: episode_1.0.0.zip, r-release: episode_1.0.0.zip, r-oldrel: not available |
| OS X El Capitan binaries: | r-release: episode_1.0.0.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
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