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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

Documentation:

Reference manual: puzzle.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=puzzle to link to this page.

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.
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