mcmcse: Monte Carlo Standard Errors for MCMC

Canonical link: https://rscholar.com/pkg/mcmcse

James M. Flegal, • John Hughes, • Dootika Vats • Ning Dai, • Kushagra Gupta • and • Uttiya Maji • View description and downloads View dependencies GitHub project

2012 Published

1.5-0 Version

0 Citations

7 Authors

Referenced by ⇅	Year
eiCompare: Compares Different Ecological Inference Methods (Version 3.0.4)	2016
qbld: Quantile Regression for Binary Longitudinal Data (Version 1.0.3)	2020
DSSP: Implementation of the Direct Sampling Spatial Prior (Version 0.1.1)	2022
JointAI: Joint Analysis and Imputation of Incomplete Data (Version 1.0.6)	2018
LNIRT: LogNormal Response Time Item Response Theory Models (Version 0.5.1)	2016
PEPBVS: Bayesian Variable Selection using Power-Expected-Posterior Prior (Version 2.0)	2023
bayes4psy: User Friendly Bayesian Data Analysis for Psychology (Version 1.2.12)	2019
bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model (Version 0.6-1)	2016
bpgmm: Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models (Version 1.0.9)	2019
copCAR: Fitting the copCAR Regression Model for Discrete Areal Data (Version 2.0-4)	2014
dirmcmc: Directional Metropolis Hastings Algorithm (Version 1.3.3)	2017
genMCMCDiag: Generalized Convergence Diagnostics for Difficult MCMC Algorithms (Version 0.2.2)	2024
nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling (Version 1.2.1)	2016
nse: Numerical Standard Errors Computation in R (Version 1.21)	2017
postpack: Utilities for Processing Posterior Samples Stored in 'mcmc.lists' (Version 0.5.4)	2020
remiod: Reference-Based Multiple Imputation for Ordinal/Binary Response (Version 1.0.2)	2022
sklarsomega: Measuring Agreement Using Sklar's Omega Coefficient (Version 3.0-2)	2018
stableGR: A Stable Gelman-Rubin Diagnostic for Markov Chain Monte Carlo (Version 1.2)	2020

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