Other packages > Find by keyword >

MultiCOAP  

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultiCOAP", "1.1")



Attach the package and use:
library("MultiCOAP")
Maintained by
Wei Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-07
Latest Update: 2024-03-07
Description:
We introduce factor models designed to jointly analyze high-dimensional count data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among counts with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors and the rank of regression coefficient matrix. More details can be referred to Liu et al. (2024) .
How to cite:
Wei Liu (2024). MultiCOAP: High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model. R package version 1.1, https://cran.r-project.org/web/packages/MultiCOAP. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited MultiCOAP R package
View MultiCOAP citation profile
Other R packages that MultiCOAP depends, imports, suggests or enhances
Complete documentation for MultiCOAP
Functions, R codes and Examples using the MultiCOAP R package
Full MultiCOAP 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

LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
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  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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