Package: coveffectsplot 1.0.7

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.

Authors:Samer Mouksassi [aut, cre], Benjamin Rich [aut], Dean Attali [ctb]

coveffectsplot_1.0.7.tar.gz
coveffectsplot_1.0.7.zip(r-4.7)coveffectsplot_1.0.7.zip(r-4.6)coveffectsplot_1.0.7.zip(r-4.5)
coveffectsplot_1.0.7.tgz(r-4.6-any)coveffectsplot_1.0.7.tgz(r-4.5-any)
coveffectsplot_1.0.7.tar.gz(r-4.7-any)coveffectsplot_1.0.7.tar.gz(r-4.6-any)
coveffectsplot_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
coveffectsplot/json (API)

# Install 'coveffectsplot' in R:
install.packages('coveffectsplot', repos = c('https://smouksassi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/smouksassi/coveffectsplot/issues

Pkgdown/docs site:https://smouksassi.github.io

Datasets:
  • covdatasim - Correlated Covariates data
  • prezista - Prezista Drug Label Data
  • wtage - Weight Age CDC growth charts data

On CRAN:

Conda:

7.46 score 32 stars 52 scripts 760 downloads 7 exports 55 dependencies

Last updated from:fee8b3fa9d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK168
source / vignettesOK331
linux-release-x86_64OK217
macos-release-arm64OK168
macos-oldrel-arm64OK153
windows-develOK130
windows-releaseOK99
windows-oldrelOK117
wasm-releaseOK146

Exports:deltamethoddraw_key_hpathdraw_key_pointrangehexpand_modelframeforest_plotget_sample_datarun_interactiveforestplot

Dependencies:base64encbslibcachemclicolourpickercommonmarkcpp11data.tabledigesteggevaluatefarverfastmapfontawesomefsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlifecyclemagrittrmemoisemimeminiUIotelpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesshinyshinyjssourcetoolstinytexvctrsviridisLitewithrxfunxtableyaml

Exposure-Response Model Assessing the Impact of Covariates on Probabilities of Clinical Outcome
Simulating an Exposure Response Model using mrgsolve | Visualizing Probability of Cure | Adding Between Subject Variability on Intercept and Showing its Impact on Probabilities | Computing the Probabilities | Dose/Exposure Response Curves | Visualize the Response versus exposures (AUC)

Last update: 2025-09-15
Started: 2020-02-04

Introduction to coveffectsplot
Motivation | Example | Simulating Data to Mimick Outputs from a Modeling Exercise | Visualizing Covariate Effects with Distributions | Simplifying the Distributions into Ranges of Effects | Plotting the Effects Data

Last update: 2025-09-15
Started: 2018-11-14

PK Model in Pediatric Patients: Assessing the Impact of a Multivariate Correlated Distribution of Covariates on PK Exposures
Specifying A Pediatric Simulation Model | PK Parameters and Associated BSV ranges | Simulating Age/Weight Pairs Using NHANES LMS Values | Simulation with the Multivariate Realistic Distribution | PK Parameters Summaries and Distribution Plots | A Forest Plot with a Side Table

Last update: 2025-09-15
Started: 2020-02-11

PK Model: Assessing the Marginal Impact of Covariates on Drug Exposure
Specifying a PK Model using mrgsolve | Simulate a Reference Subjects with BSV | Compute PK Parameters, Plot and Summarize BSV | Generate and Simulate at Combinations of Covariate of Interest | Generate a Dataset Holding Combinations of Covariates: | Simulation at Unique Combinations of Covariates | Adding Uncertainty from a Varcov Matrix | Generating Sets of Parameters with Uncertainty | Iterative Simulations to Apply the Uncertainty | Compute PK Parameters and Boxplots | Alternative View of the Data: Distributions and Intervals | Adding the BSV Ranges and Putting it all Together Using forest_plot | Customization of the Plots | Using theme_benrich along Additional Options | Returning a List of ggplots | Plots with Multiple PK Parameters | Facet by Parameter | Shape by Parameter | Color by Parameter

Last update: 2025-09-15
Started: 2020-01-23

PK Model: Assessing the Impact of Joint Covariates Distributions and BSV on Drug Exposure
Specifying a PK Model using mrgsolve | Simulate a Reference Subjects with BSV | Compute PK Parameters, Plot and Summarize BSV | Importing Realistic Distributions of Covariates | Visualize the dataset of Covariates: | Simulation With Full Distributions of Covariates | Adding Uncertainty from a Varcov Matrix | Generating Sets of Parameters with Uncertainty | Iterative Simulation to Apply the Uncertainty | Compute PK Parameters and Boxplots | Alternative View of the Data: Distributions and Intervals | Putting it all Together Using forest_plot | Computing Geometric Mean Ratios (GMR) using a category as reference

Last update: 2025-09-15
Started: 2022-04-11

PK/PD Model: Assessing the Impact of Covariates on a Biomarker
Specifying a PK/PD Model using mrgsolve | Simulate Reference Subjects with BSV | Compute PD Parameters and Summarize BSV | Construct ans Simulate at Combinations of Covariate of Interest | Compute PD Parameters and Distributions Plots | Summarize, add the BSV Ranges and Putting it all Together Using forest_plot

Last update: 2023-08-02
Started: 2020-01-30

Shiny App

Last update: 2022-06-18
Started: 2022-06-18