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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.
Getting started
Browse package contents
Package details |
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| Author | Olivier Barriere [aut], Mario Gonzalez Sales [aut, cre] |
| Maintainer | Mario Gonzalez Sales <mario@modelinggreatsolutions.com> |
| License | GPL-3 |
| Version | 0.0.1 |
| URL | https://github.com/syneoshealth/puzzle |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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