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coveffectsplot  

Produce Forest Plots to Visualize Covariate Effects
View on CRAN: Click here


Download and install coveffectsplot package within the R console
Install from CRAN:
install.packages("coveffectsplot")

Install from Github:
library("remotes")
install_github("cran/coveffectsplot")

Install by package version:
library("remotes")
install_version("coveffectsplot", "1.0.5")



Attach the package and use:
library("coveffectsplot")
Maintained by
Samer Mouksassi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-26
Latest Update: 2022-05-30
Description:
Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.
How to cite:
Samer Mouksassi (2018). coveffectsplot: Produce Forest Plots to Visualize Covariate Effects. R package version 1.0.5, https://cran.r-project.org/web/packages/coveffectsplot. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2018-11-26 20:40), 0.0.2 (2019-01-07 16:10), 0.0.3 (2019-02-25 11:30), 0.0.4 (2019-10-09 23:00), 0.0.5 (2020-02-06 12:20), 0.0.9.1 (2020-12-10 16:50), 0.0.9 (2020-04-03 16:20), 1.0.0 (2022-01-12 14:52), 1.0.1 (2022-03-30 13:00), 1.0.2 (2022-05-30 12:50), 1.0.4 (2023-09-18 14:40)
Other packages that cited coveffectsplot R package
View coveffectsplot citation profile
Other R packages that coveffectsplot depends, imports, suggests or enhances
Complete documentation for coveffectsplot
Functions, R codes and Examples using the coveffectsplot R package
Some associated functions: covdatasim . draw_key . expand_modelframe . forest_plot . get_sample_data . prezista . run_interactiveforestplot . wtage . 
Some associated R codes: data.R . expand_modelframe.R . forest_plot.R . get_sample_data.R . run_interactiveforestplot.R .  Full coveffectsplot package functions and examples
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