Other packages > Find by keyword >

sampsizeval  

Sample Size for Validation of Risk Models with Binary Outcomes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sampsizeval", "1.0.0.0")



Attach the package and use:
library("sampsizeval")
Maintained by
Menelaos Pavlou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-28
Latest Update: 2021-05-28
Description:
Estimation of the required sample size to validate a risk model for binary outcomes, based on the sample size equations proposed by Pavlou et al. (2021) . For precision-based sample size calculations, the user is required to enter the anticipated values of the C-statistic and outcome prevalence, which can be obtained from a previous study. The user also needs to specify the required precision (standard error) for the C-statistic, the calibration slope and the calibration in the large. The calculations are valid under the assumption of marginal normality for the distribution of the linear predictor.
How to cite:
Menelaos Pavlou (2021). sampsizeval: Sample Size for Validation of Risk Models with Binary Outcomes. R package version 1.0.0.0, https://cran.r-project.org/web/packages/sampsizeval. Accessed 09 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited sampsizeval R package
View sampsizeval citation profile
Other R packages that sampsizeval depends, imports, suggests or enhances
Complete documentation for sampsizeval
Functions, R codes and Examples using the sampsizeval R package
Some associated functions: sampsizeval . 
Some associated R codes: actual_values.R . package-sampsizeval.R . sampsizeval.R . size_c_app.R . size_c_ni.R . size_cl_app.R . size_cl_ni.R . size_cs_app.R . size_cs_ni.R . tune_mu_sigma.R .  Full sampsizeval package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

separationplot  
Separation Plots
Visual representations of model fit or predictive success in the form of "separation plots." See Gr ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
githubinstall  
A Helpful Way to Install R Packages Hosted on GitHub
Provides an helpful way to install packages hosted on GitHub. ...
Download / Learn more Package Citations See dependency  
TRMF  
Temporally Regularized Matrix Factorization
Functions to estimate temporally regularized matrix factorizations (TRMF) for forecasting and imputi ...
Download / Learn more Package Citations See dependency  
baffle  
Make Waffle Plots with Base Graphics
Waffle plots are rectangular pie charts that represent a quantity or abundances using colored squar ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

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