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

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:

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