Other packages > Find by keyword >

iSFun  

Integrative Dimension Reduction Analysis for Multi-Source Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iSFun", "1.1.0")



Attach the package and use:
library("iSFun")
Maintained by
Rui Ren
[Scholar Profile | Author Map]
First Published: 2021-10-04
Latest Update: 2022-01-03
Description:
The implement of integrative analysis methods based on a two-part penalization, which realizes dimension reduction analysis and mining the heterogeneity and association of multiple studies with compatible designs. The software package provides the integrative analysis methods including integrative sparse principal component analysis (Fang et al., 2018), integrative sparse partial least squares (Liang et al., 2021) and integrative sparse canonical correlation analysis, as well as corresponding individual analysis and meta-analysis versions. References: (1) Fang, K., Fan, X., Zhang, Q., and Ma, S. (2018). Integrative sparse principal component analysis. Journal of Multivariate Analysis, . (2) Liang, W., Ma, S., Zhang, Q., and Zhu, T. (2021). Integrative sparse partial least squares. Statistics in Medicine, .
How to cite:
Rui Ren (2021). iSFun: Integrative Dimension Reduction Analysis for Multi-Source Data. R package version 1.1.0, https://cran.r-project.org/web/packages/iSFun. Accessed 05 Apr. 2025.
Previous versions and publish date:
0.1.0 (2021-10-04 10:30)
Other packages that cited iSFun R package
View iSFun citation profile
Other R packages that iSFun depends, imports, suggests or enhances
Complete documentation for iSFun
Downloads during the last 30 days
03/0603/0703/0803/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/03Downloads for iSFun012345678910111213TrendBars

Today's Hot Picks in Authors and Packages

leapp  
Latent Effect Adjustment After Primary Projection
These functions take a gene expression value matrix, a primary covariate vector, an additional know ...
Download / Learn more Package Citations See dependency  
whitestrap  
White Test and Bootstrapped White Test for Heteroskedasticity
Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, develope ...
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  
gllvm  
Generalized Linear Latent Variable Models
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation i ...
Download / Learn more Package Citations See dependency  
deepdive  
Deep Learning for General Purpose
Aims to provide simple intuitive functions to create quick prototypes of artificial neural network o ...
Download / Learn more Package Citations See dependency  
TrendInTrend  
Odds Ratio Estimation and Power Calculation for the Trend in Trend Model
Estimation of causal odds ratio and power calculation given trends in exposure prevalenceand outcome ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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