Other packages > Find by keyword >

GUEST  

Graphical Models in Ultrahigh-Dimensional and Error-Prone Data via Boosting Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GUEST", "0.2.0")



Attach the package and use:
library("GUEST")
Maintained by
Hui-Shan Tsao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-21
Latest Update: 2024-07-30
Description:
We consider the ultrahigh-dimensional and error-prone data. Our goal aims to estimate the precision matrix and identify the graphical structure of the random variables with measurement error corrected. We further adopt the estimated precision matrix to the linear discriminant function to do classification for multi-label classes.
How to cite:
Hui-Shan Tsao (2024). GUEST: Graphical Models in Ultrahigh-Dimensional and Error-Prone Data via Boosting Algorithm. R package version 0.2.0, https://cran.r-project.org/web/packages/GUEST. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.1.0 (2024-05-21 15:30), (2026-07-09 08:05)
Other packages that cited GUEST R package
View GUEST citation profile
Other R packages that GUEST depends, imports, suggests or enhances
Complete documentation for GUEST
Functions, R codes and Examples using the GUEST R package
Full GUEST package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
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  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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