mcmcse is a software package developed by James M. Flegal for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. The package supports MCSE computation for expectation and quantile estimators as well as multivariate estimations. It also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Use Cases
- Assessing convergence of MCMC chains based on Monte Carlo standard error calculations.
- Estimating effective sample size for MCMC output to evaluate sampling efficiency.
- Plotting Monte Carlo estimates versus sample size to visualize convergence behavior.
- Computing multivariate Monte Carlo standard errors for multi-dimensional parameter estimates.
- Evaluating quantile estimators from MCMC output using provided standard error tools.
Strengths
- Provides tools for computing Monte Carlo standard errors for expectation and quantile estimators.
- Supports multivariate estimations for multi-dimensional MCMC output.
- Includes functions for computing effective sample size, a key diagnostic metric.
- Offers plotting functions for Monte Carlo estimates versus sample size.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count and file formats are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- James M. Flegal