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
bayesdfa
View on CRAN: Click
here
Download and install bayesdfa package within the R console
Install from CRAN:
install.packages("bayesdfa")
Install from Github:
library("remotes")
install_github("cran/bayesdfa") Install by package version:
library("remotes")
install_version("bayesdfa", "1.3.4") Attach the package and use:
library("bayesdfa")
Maintained by
Eric J. Ward
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-19
Latest Update: 2025-03-22
Description:
Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic
factor analysis is a dimension reduction tool for multivariate time series.
'bayesdfa' extends conventional dynamic factor models in several ways.
First, extreme events may be estimated in the latent trend by modeling
process error with a student-t distribution. Second, alternative constraints
(including proportions are allowed). Third, the estimated
dynamic factors can be analyzed with hidden Markov models to evaluate
support for latent regimes.
How to cite:
Eric J. Ward (2018). bayesdfa: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'. R package version 1.3.4, https://cran.r-project.org/web/packages/bayesdfa. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.1.0 (2018-09-19 12:00), 0.1.1 (2018-11-09 16:30), 0.1.2 (2019-03-05 13:20), 0.1.3 (2019-05-22 15:40), 0.1.5 (2020-09-02 17:50), 0.1.6 (2020-09-21 00:30), 0.1.7 (2021-05-04 19:30), 1.0.0 (2021-05-19 04:00), 1.1.0 (2021-05-28 20:10), 1.2.0 (2021-09-28 15:20), 1.3.1 (2023-10-11 17:10), 1.3.2 (2024-01-12 16:50), 1.3.3 (2024-02-26 21:50)
Other packages that cited bayesdfa R package
View bayesdfa citation profile
Other R packages that bayesdfa depends,
imports, suggests or enhances
Complete documentation for bayesdfa
Functions, R codes and Examples using
the bayesdfa R package
Some associated functions: bayesdfa-package . dfa_cv . dfa_fitted . dfa_loadings . dfa_trends . find_dfa_trends . find_inverted_chains . find_regimes . find_swans . fit_dfa . fit_regimes . hmm_init . invert_chains . is_converged . loo . plot_fitted . plot_loadings . plot_regime_model . plot_trends . predicted . rotate_trends . sim_dfa . trend_cor .
Some associated R codes: bayesdfa-package.R . converge_rhat.R . dfa_cv.R . dfa_fitted.R . dfa_loadings.R . dfa_trends.R . find_dfa_trends.R . find_regimes.R . find_swans.R . fit_dfa.R . fit_regimes.R . hmm_init.R . invert_chains.R . loo.R . plot_fitted.R . plot_loadings.R . plot_regime_model.R . plot_trends.R . predicted.R . print.R . rotate_trends.R . sim.R . stanmodels.R . trend_cor.R . Full bayesdfa package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
RCytoGPS
Defines classes and methods to process text-based
cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kevin R. Coombes (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
clinUtils
Utility functions to facilitate the import,
the reporting and analysis of clinical data.
Example ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laure Cougnaud (view profile)
ncodeR
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Cody L Marquart (view profile)
PCADSC
A suite of non-parametric, visual tools for assessing differences in data structures
for two datase ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Anne H. Petersen (view profile)
leafgl
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Tim Appelhans (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
