puzzle: Assembling Data Sets for Non-Linear Mixed Effects Modeling
To Simplify the time consuming and error prone task of assembling complex data sets for non-linear mixed effects modeling. Users are able to select from different absorption processes such as zero and first order, or a combination of both. Furthermore, data sets containing data from several entities, responses, and covariates can be simultaneously assembled.
| Version: | 0.0.1 |
| Imports: | utils,lubridate, stats,readxl,reshape,reshape2,sqldf,kableExtra,plyr,dplyr,tidyverse,readr |
| Suggests: | rmarkdown,knitr,devtools,testthat |
| Published: | 2019-11-28 |
| DOI: | 10.32614/CRAN.package.puzzle |
| Author: | Olivier Barriere [aut], Mario Gonzalez Sales [aut, cre] |
| Maintainer: | Mario Gonzalez Sales <mario at modelinggreatsolutions.com> |
| BugReports: | https://github.com/syneoshealth/puzzle/issues |
| License: | GPL-3 |
| URL: | https://github.com/syneoshealth/puzzle |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | puzzle results |
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