Other packages > Find by keyword >

singcar  

Comparing Single Cases to Small Samples
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("singcar", "0.1.5")



Attach the package and use:
library("singcar")
Maintained by
Jonathan Rittmo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-20
Latest Update: 2023-03-16
Description:
When comparing single cases to control populations and no parameters are known researchers and clinicians must estimate these with a control sample. This is often done when testing a case's abnormality on some variable or testing abnormality of the discrepancy between two variables. Appropriate frequentist and Bayesian methods for doing this are here implemented, including tests allowing for the inclusion of covariates. These have been developed first and foremost by John Crawford and Paul Garthwaite, e.g. in Crawford and Howell (1998) <doi:10.1076/clin.12.4.482.7241>, Crawford and Garthwaite (2005) <doi:10.1037/0894-4105.19.3.318>, Crawford and Garthwaite (2007) <doi:10.1080/02643290701290146> and Crawford, Garthwaite and Ryan (2011) <doi:10.1016/j.cortex.2011.02.017>. The package is also equipped with power calculators for each method.
How to cite:
Jonathan Rittmo (2020). singcar: Comparing Single Cases to Small Samples. R package version 0.1.5, https://cran.r-project.org/web/packages/singcar. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-10-20 17:00), 0.1.1 (2020-10-29 09:00), 0.1.2 (2021-01-07 10:40), 0.1.3 (2021-03-01 14:50)
Other packages that cited singcar R package
View singcar citation profile
Other R packages that singcar depends, imports, suggests or enhances
Complete documentation for singcar
Functions, R codes and Examples using the singcar R package
Some associated functions: BSDT . BSDT_cov . BSDT_cov_power . BSDT_power . BTD . BTD_cov . BTD_cov_power . BTD_power . MTD . RSDT . RSDT_power . TD . TD_power . UDT . UDT_power . singcar . size_weight_illusion . 
Some associated R codes: BSDT.R . BSDT_cov.R . BTD.R . BTD_cov.R . MTD.R . RSDT.R . TD.R . UDT.R . data.R . deficit_power.R . dissoc_power.R . singcar.R .  Full singcar package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
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  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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