R: Interoperating with 'NIMBLE' for Generic Analysis of MCMC Samples

# Interoperating with 'NIMBLE' for Generic Analysis of MCMC Samples

## Documentation for package ‘nimbleExtra’ version 0.1.15

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

nimbleExtra-package | nimbleExtra: Interoperating with 'NIMBLE' for Generic Analysis of MCMC Samples
add_predictions | Add predictions to a dataframe of parameters
coda_samples | Extract a list of MCMC chains from NIMBLE output
example_datasets | Sample NIMBLE datasets
MCMC_initial_values | Construct MCMC initial values
MCMC_iterations | Construct the total number of MCMC iterations
mcmc_quantile | Quantile(s) of a quantity across a joint distribution
nimbleExtra | nimbleExtra: Interoperating with 'NIMBLE' for Generic Analysis of MCMC Samples
nimble_data_m0_s0_w0_a0_c1 | Sample NIMBLE datasets
nimble_data_m0_s0_w0_a0_c2 | Sample NIMBLE datasets
nimble_data_m0_s0_w0_a1_c1 | Sample NIMBLE datasets
nimble_data_m0_s0_w0_a1_c2 | Sample NIMBLE datasets
nimble_data_m0_s0_w1_a0_c1 | Sample NIMBLE datasets
nimble_data_m0_s0_w1_a0_c2 | Sample NIMBLE datasets
nimble_data_m0_s0_w1_a1_c1 | Sample NIMBLE datasets
nimble_data_m0_s0_w1_a1_c2 | Sample NIMBLE datasets
nimble_data_m0_s1_w0_a0_c1 | Sample NIMBLE datasets
nimble_data_m0_s1_w0_a0_c2 | Sample NIMBLE datasets
nimble_data_m0_s1_w0_a1_c1 | Sample NIMBLE datasets
nimble_data_m0_s1_w0_a1_c2 | Sample NIMBLE datasets
nimble_data_m0_s1_w1_a0_c1 | Sample NIMBLE datasets
nimble_data_m0_s1_w1_a0_c2 | Sample NIMBLE datasets
nimble_data_m0_s1_w1_a1_c1 | Sample NIMBLE datasets
nimble_data_m0_s1_w1_a1_c2 | Sample NIMBLE datasets
nimble_data_m1_s0_w0_a0_c1 | Sample NIMBLE datasets
nimble_data_m1_s0_w0_a0_c2 | Sample NIMBLE datasets
nimble_data_m1_s0_w0_a1_c1 | Sample NIMBLE datasets
nimble_data_m1_s0_w0_a1_c2 | Sample NIMBLE datasets
nimble_data_m1_s0_w1_a0_c1 | Sample NIMBLE datasets
nimble_data_m1_s0_w1_a0_c2 | Sample NIMBLE datasets
nimble_data_m1_s0_w1_a1_c1 | Sample NIMBLE datasets
nimble_data_m1_s0_w1_a1_c2 | Sample NIMBLE datasets
nimble_data_m1_s1_w0_a0_c1 | Sample NIMBLE datasets
nimble_data_m1_s1_w0_a0_c2 | Sample NIMBLE datasets
nimble_data_m1_s1_w0_a1_c1 | Sample NIMBLE datasets
nimble_data_m1_s1_w0_a1_c2 | Sample NIMBLE datasets
nimble_data_m1_s1_w1_a0_c1 | Sample NIMBLE datasets
nimble_data_m1_s1_w1_a0_c2 | Sample NIMBLE datasets
nimble_data_m1_s1_w1_a1_c1 | Sample NIMBLE datasets
nimble_data_m1_s1_w1_a1_c2 | Sample NIMBLE datasets
nimble_summary | Extract MCMC summaries from NIMBLE output
nimble_test | Test NIMBLE
nimble_waic | Extract WAIC summaries from NIMBLE output
n_chains | Number of MCMC chains
posterior_key | Construct a primary key for MCMC samples in posterior::draws_df format
posterior_summary_key | Construct a primary key for MCMC samples in posterior::draws_summary format
print_dataframe | Print information about a dataframe
print_figures | Render a list of figures
probability | Probability of satisfying a predicate across a joint distribution
samples | Extract a chain of MCMC samples from NIMBLE output
scaled | Add scale information to a figure
select_samples | Select an evenly arrayed subset of MCMC samples from a dataframe
stats | Extract MCMC summary statistics from MCMC samples
stat_mean_abline | A ggplot2::ggplot2 stat function for the mean linear relation
stat_mean_hline | A ggplot2::ggplot2 stat function for the sample mean
stat_mean_vline | A ggplot2::ggplot2 stat function for the mean vline, i.e., x intercept
stat_quantile_line | A 'ggplot' stat function for a single quantile
stat_quantile_ribbon | A ggplot2::ggplot2 stat function for two quantiles, min and max, defining the bounds of a ribbon
stat_sample_mean | A ggplot2::ggplot2 stat function for the sample mean
stat_sample_quantile | A ggplot2::ggplot2 stat function for a single quantile