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 03 Feb. 2025.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

sgof  
Multiple Hypothesis Testing
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency  
Bolstad2  
Bolstad Functions
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency  
cmce  
Computer Model Calibration for Deterministic and Stochastic Simulators
Implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency  
metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
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  
predictoR  
Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,513

Dependencies

64,101

Author Associations

23,581

Publication Badges

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