Other packages > Find by keyword >

ACSSpack  

ACSS, Corresponding ACSS, and GLP Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ACSSpack", "0.0.1.4")



Attach the package and use:
library("ACSSpack")
Maintained by
Ziqian Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-04
Latest Update: 2024-07-04
Description:
Allow user to run the Adaptive Correlated Spike and Slab (ACSS) algorithm, corresponding INdependent Spike and Slab (INSS) algorithm, and Giannone, Lenza and Primiceri (GLP) algorithm with adaptive burn-in. All of the three algorithms are used to fit high dimensional data set with either sparse structure, or dense structure with smaller contributions from all predictors. The state-of-the-art GLP algorithm is in Giannone, D., Lenza, M., & Primiceri, G. E. (2021, ISBN:978-92-899-4542-4) "Economic predictions with big data: The illusion of sparsity". The two new algorithms, ACSS algorithm and INSS algorithm, and the discussion on their performance can be seen in Yang, Z., Khare, K., & Michailidis, G. (2024, preprint) "Bayesian methodology for adaptive sparsity and shrinkage in regression".
How to cite:
Ziqian Yang (2024). ACSSpack: ACSS, Corresponding ACSS, and GLP Algorithm. R package version 0.0.1.4, https://cran.r-project.org/web/packages/ACSSpack. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited ACSSpack R package
View ACSSpack citation profile
Other R packages that ACSSpack depends, imports, suggests or enhances
Complete documentation for ACSSpack
Functions, R codes and Examples using the ACSSpack R package
Full ACSSpack 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

RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  
SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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