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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