Other packages > Find by keyword >

ISCA  

Compare Heterogeneous Social Groups
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ISCA", "0.1.0")



Attach the package and use:
library("ISCA")
Maintained by
Lucas Drouhot
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-02
Latest Update: 2024-10-02
Description:
The Inductive Subgroup Comparison Approach ('ISCA') offers a way to compare groups that are internally differentiated and heterogeneous. It starts by identifying the social structure of a reference group against which a minority or another group is to be compared, yielding empirical subgroups to which minority members are then matched based on how similar they are. The modelling of specific outcomes then occurs within specific subgroups in which majority and minority members are matched. 'ISCA' is characterized by its data-driven, probabilistic, and iterative approach and combines fuzzy clustering, Monte Carlo simulation, and regression analysis. ISCA_random_assignments() assigns subjects probabilistically to subgroups. ISCA_clustertable() provides summary statistics of each cluster across iterations. ISCA_modeling() provides Ordinary Least Squares regression results for each cluster across iterations. For further details please see Drouhot (2021) <doi:10.1086/712804>.
How to cite:
Lucas Drouhot (2024). ISCA: Compare Heterogeneous Social Groups. R package version 0.1.0, https://cran.r-project.org/web/packages/ISCA. Accessed 26 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ISCA R package
View ISCA citation profile
Other R packages that ISCA depends, imports, suggests or enhances
Complete documentation for ISCA
Functions, R codes and Examples using the ISCA R package
Full ISCA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
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  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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