Nothing
coveffectsplot: Produce Forest Plots to Visualize Covariate Effects
Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.
Getting started
README.md
Exposure-Response Model Assessing the Impact of Covariates on Probabilities of Clinical Outcome"
Introduction to `coveffectsplot`"
PK Model: Assessing the Impact of Joint Covariates Distributions and BSV on Drug Exposure"
PK Model: Assessing the Marginal Impact of Covariates on Drug Exposure"
PK Model in Pediatric Patients: Assessing the Impact of a Multivariate Correlated Distribution of Covariates on PK Exposures"
PK/PD Model: Assessing the Impact of Covariates on a Biomarker"
Shiny App"
Browse package contents
Package details |
|
|---|---|
| Author | Samer Mouksassi [aut, cre] (<https://orcid.org/0000-0002-7152-6654>), Benjamin Rich [aut], Dean Attali [ctb] |
| Maintainer | Samer Mouksassi <samermouksassi@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.4 |
| URL | https://smouksassi.github.io/coveffectsplot/ https://github.com/smouksassi/coveffectsplot |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the coveffectsplot package in your browser
Any scripts or data that you put into this service are public.
