R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
clinicalsignificance
View on CRAN: Click
here
Download and install clinicalsignificance package within the R console
Install from CRAN:
install.packages("clinicalsignificance")
Install from Github:
library("remotes")
install_github("cran/clinicalsignificance")
Install by package version:
library("remotes")
install_version("clinicalsignificance", "2.1.0")
Attach the package and use:
library("clinicalsignificance")
Maintained by
Benedikt Claus
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.clinicalsignificance . https://github.com/pedscience/clinicalsignificance/issues . https://pedscience.github.io/clinicalsignificance/ . https://github.com/pedscience/clinicalsignificance . clinicalsignificance citation info . clinicalsignificance results . clinicalsignificance.pdf . clinicalsignificance_2.1.0.tar.gz . clinicalsignificance_2.1.0.zip . clinicalsignificance_2.1.0.zip . clinicalsignificance_2.1.0.zip . clinicalsignificance_2.1.0.tgz . clinicalsignificance_2.1.0.tgz . clinicalsignificance_2.1.0.tgz . clinicalsignificance_2.1.0.tgz . clinicalsignificance_2.1.0.tgz . clinicalsignificance_2.1.0.tgz . clinicalsignificance archive . https://CRAN.R-project.org/package=clinicalsignificance .
First Published: 2022-06-03
Latest Update: 2023-11-16
Description:
A clinical significance analysis can be used to determine if an
intervention has a meaningful or practical effect for patients. You provide
a tidy data set plus a few more metrics and this package will take care of
it to make your results publication ready.
How to cite:
Benedikt Claus (2022). clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies. R package version 2.1.0, https://cran.r-project.org/web/packages/clinicalsignificance. Accessed 09 Apr. 2025.
Previous versions and publish date:
Other packages that cited clinicalsignificance R package
View clinicalsignificance citation profile
Other R packages that clinicalsignificance depends,
imports, suggests or enhances
Complete documentation for clinicalsignificance
Functions, R codes and Examples using
the clinicalsignificance R package
Some associated functions: antidepressants . anxiety . anxiety_complete . augmented_data . calc_anchor.cs_anchor_group_between . calc_anchor.cs_anchor_group_within . calc_anchor.cs_anchor_individual_within . calc_anchor . calc_cutoff_from_data.cs_ha . calc_cutoff_from_data.default . calc_cutoff_from_data . calc_percentage . calc_rci.cs_en . calc_rci.cs_gln . calc_rci.cs_ha . calc_rci.cs_hll . calc_rci.cs_hlm . calc_rci.cs_jt . calc_rci.cs_nk . calc_rci . claus_2020 . create_summary_table.cs_anchor_individual_within . create_summary_table.cs_combined . create_summary_table.cs_distribution . create_summary_table.cs_percentage . create_summary_table.cs_statistical . create_summary_table . cs_anchor . cs_combined . cs_distribution . cs_get_cutoff . cs_get_cutoff_descriptives . cs_get_data . cs_get_model . cs_get_n . cs_get_reliability . cs_percentage . cs_statistical . generate_plotting_band.cs_anchor_individual_within . generate_plotting_band.cs_en . generate_plotting_band.cs_gln . generate_plotting_band.cs_ha . generate_plotting_band.cs_hll . generate_plotting_band.cs_jt . generate_plotting_band.cs_nk . generate_plotting_band.cs_percentage . generate_plotting_band . hechler_2014 . jacobson_1989 . plot.cs_anchor_group_between . plot.cs_anchor_group_within . plot.cs_anchor_individual_within . plot.cs_combined . plot.cs_distribution . plot.cs_percentage . plot.cs_statistical . print.cs_anchor_group_between . print.cs_anchor_group_within . print.cs_anchor_individual_within . print.cs_combined . print.cs_distribution . print.cs_percentage . print.cs_statistical . summary.cs_anchor_group_between . summary.cs_anchor_group_within . summary.cs_anchor_individual_within . summary.cs_combined . summary.cs_distribution . summary.cs_percentage . summary.cs_statistical . summary_table .
Some associated R codes: calc_anchor.R . calc_cutoff.R . calc_percentage.R . calc_rci.R . calc_recovered.R . create_summary_table.R . cs_anchor.R . cs_combined.R . cs_distribution.R . cs_get_augmented_data.R . cs_get_cutoff.R . cs_get_cutoff_descriptives.R . cs_get_data.R . cs_get_model.R . cs_get_n.R . cs_get_reliability.R . cs_get_summary.R . cs_percentage.R . cs_statistical.R . datasets.R . generate_plotting_band.R . globals.R . package-utils.R . plot.R . prep_data.R . Full clinicalsignificance package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
MultSurvTests
Multivariate version of the two-sample Gehan and logrank tests, as described in L.J Wei & J.M Lachin ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lukas Arnroth (view profile)
fisheye
Base maps are transformed to focus on a specific location using an
azimuthal logarithmic distance t ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Timothée Giraud (view profile)
mmb
Supports Bayesian models with full and partial (hence
arbitrary) dependencies between random variab ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sebastian Hönel (view profile)
prettyglm
One of the main advantages of using Generalised Linear Models
is their interpretability. The goal ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jared Fowler (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
cvmdisc
Implements Cramer-von Mises Statistics for testing fit to (1) fully specified discrete distributions ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Shaun Zheng Sun (view profile)
24,012
R Packages
207,311
Dependencies
64,867
Author Associations
24,013
Publication Badges
