Other packages > Find by keyword >

TFM  

Sparse Online Principal Component for Truncated Factor Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TFM", "0.5.2")



Attach the package and use:
library("TFM")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-14
Latest Update: 2025-06-09
Description:
The Truncated Factor Model is a statistical model designed to handle specific data structures in data analysis. This R package focuses on the Sparse Online Principal Component Estimation method, which is used to calculate data such as the loading matrix and specific variance matrix for truncated data, thereby better explaining the relationship between common factors and original variables. Additionally, the R package also provides other equations for comparison with the Sparse Online Principal Component Estimation method.The philosophy of the package is described in Guangbao Guo. (2023) <doi:10.1007/s00180-022-01270-z>.
How to cite:
Guangbao Guo (2024). TFM: Sparse Online Principal Component for Truncated Factor Model. R package version 0.5.2, https://cran.r-project.org/web/packages/TFM. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2024-11-14 16:40), 0.2.0 (2025-02-26 01:50), 0.3.0 (2025-04-16 16:30), 0.4.0 (2025-05-16 11:20), 0.5.2 (2025-06-09 04:20)
Other packages that cited TFM R package
View TFM citation profile
Other R packages that TFM depends, imports, suggests or enhances
Complete documentation for TFM
Functions, R codes and Examples using the TFM R package
Full TFM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
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  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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