Other packages > Find by keyword >

powerSurvEpi  

Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("powerSurvEpi", "0.1.3")



Attach the package and use:
library("powerSurvEpi")
Maintained by
Weiliang Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-17
Latest Update: 2021-03-01
Description:
Functions to calculate power and sample size for testing main effect or interaction effect in the survival analysis of epidemiological studies (non-randomized studies), taking into account the correlation between the covariate of the interest and other covariates. Some calculations also take into account the competing risks and stratified analysis. This package also includes a set of functions to calculate power and sample size for testing main effect in the survival analysis of randomized clinical trials and conditional logistic regression for nested case-control study.
How to cite:
Weiliang Qiu (2009). powerSurvEpi: Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies. R package version 0.1.3, https://cran.r-project.org/web/packages/powerSurvEpi. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.5 (2009-04-17 21:07), 0.0.6 (2012-03-31 18:30), 0.0.9 (2015-07-24 07:54), 0.1.0 (2018-02-07 17:55), 0.1.1 (2021-01-08 14:50)
Other packages that cited powerSurvEpi R package
View powerSurvEpi citation profile
Other R packages that powerSurvEpi depends, imports, suggests or enhances
Complete documentation for powerSurvEpi
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
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  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA