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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 |
| Reference manual: | puzzle.pdf |
| Package source: | puzzle_0.0.1.tar.gz |
| Windows binaries: | r-devel: puzzle_0.0.1.zip, r-release: puzzle_0.0.1.zip, r-oldrel: puzzle_0.0.1.zip |
| macOS binaries: | r-release (arm64): puzzle_0.0.1.tgz, r-oldrel (arm64): puzzle_0.0.1.tgz, r-release (x86_64): puzzle_0.0.1.tgz, r-oldrel (x86_64): puzzle_0.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.