R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
SILFS
View on CRAN: Click
here
Download and install SILFS package within the R console
Install from CRAN:
install.packages("SILFS")
Install from Github:
library("remotes")
install_github("cran/SILFS")
Install by package version:
library("remotes")
install_version("SILFS", "0.1.0")
Attach the package and use:
library("SILFS")
Maintained by
Fuxin Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-03
Latest Update: 2024-07-03
Description:
In various domains, many datasets exhibit both high variable dependency and group structures, which necessitates their simultaneous estimation. This package provides functions for two subgroup identification methods based on penalized functions, both of which utilize factor model structures to adapt to data with cross-sectional dependency. The first method is the Subgroup Identification with Latent Factor Structure Method (SILFSM) we proposed. By employing Center-Augmented Regularization and factor structures, the SILFSM effectively eliminates data dependencies while identifying subgroups within datasets. For this model, we offer optimization functions based on two different methods: Coordinate Descent and our newly developed Difference of Convex-Alternating Direction Method of Multipliers (DC-ADMM) algorithms; the latter can be applied to cases where the distance function in Center-Augmented Regularization takes L1 and L2 forms. The other method is the Factor-Adjusted Pairwise Fusion Penalty (FA-PFP) model, which incorporates factor augmentation into the Pairwise Fusion Penalty (PFP) developed by Ma, S. and Huang, J. (2017) <doi:10.1080/01621459.2016.1148039>. Additionally, we provide a function for the Standard CAR (S-CAR) method, which does not consider the dependency and is for comparative analysis with other approaches. Furthermore, functions based on the Bayesian Information Criterion (BIC) of the SILFSM and the FA-PFP method are also included in 'SILFS' for selecting tuning parameters. For more details of Subgroup Identification with Latent Factor Structure Method, please refer to He et al. (2024) <doi:10.48550/arXiv.2407.00882>.
How to cite:
Fuxin Wang (2024). SILFS: Subgroup Identification with Latent Factor Structure. R package version 0.1.0, https://cran.r-project.org/web/packages/SILFS. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited SILFS R package
View SILFS citation profile
Other R packages that SILFS depends,
imports, suggests or enhances
Complete documentation for SILFS
Functions, R codes and Examples using
the SILFS R package
Full SILFS package
functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
crossrun
Joint distribution of number of crossings and the
longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Tore Wentzel-Larsen (view profile)
deductive
Attempt to repair inconsistencies and missing values in
data records by using information from vali ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mark van der Loo (view profile)
RcppHNSW
'Hnswlib' is a C++ library for Approximate Nearest Neighbors.
This package provides a minimal R int ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: James Melville (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
pkgdepends
Find recursive dependencies of 'R' packages from various
sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gábor Csárdi (view profile)
SCBiclust
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Erika S. Helgeson (view profile)