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
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-release (x86_64): puzzle_0.0.1.tgz, r-oldrel: puzzle_0.0.1.tgz


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