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Model Fitting

Core functions for fitting Bayesian transition models

fit_model()
Fit the transition model to data.
write_model()
Write Stan models for different model settings.
get_fit()
Load a saved model fit

Data Processing

Functions for preparing data

process_data()
Process survey data for a selected indicator
explore_data()
Explore Coverage Indicators Over Time
routinedata_add_roc_info()
Calculate Rate of Change and DQ Indicators

Visualization & Output

Functions for plotting and model comparison

plot_estimates_local_all()
Plot model fits, with options to add routine data or additional fits for comparison.
plot_hierchecks()
Plot hierarchical model checks
compare_fits()
Compare multiple model fits in a single plot

Diagnostics

Functions for convergence and model checking

get_convergence_diagnostics()
Get convergence diagnostics for a fitted model

Extraction for model checks

Functions for extracting posterior samples of residuals, innovation terms, and etas.

get_eta_samples()
Extract posterior samples of eta (latent coverage) for a specific year
get_inno_samples()
Extract Innovation Samples from Fitted Model
get_residuals_samples()
Extract Residuals from Posterior Samples

Utilities

Helper and transformation functions

probit()
Probit Transform (Probit to Proportion)
inv_probit()
Inverse Probit Transform (Proportion to InvProbit)
backtransform_residuals()
Back-transform Residuals to Proportion Scale
get_relative_output_dir()
Get relative output directory path
rename_output_folder()
Rename output folder and directory in fit object
get_se_invprobitprop()
Get Standard Error on invProbit Scale from Proportion
get_se_logitprop()
Get Standard Error on Logit Scale
get_se_probitofinvprobitprop()
Get Standard Error on Proportion Scale from invProbit proportion
identify_outliers_in_global_fit()
identify_outliers_in_global_fit
get_standata_routine()
get_standata_routine