| 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 |