R: Bivariate Hurdle Regression with Bayesian Model Averaging

# Bivariate Hurdle Regression with Bayesian Model Averaging

## Documentation for package ‘bivarhr’ version 0.1.6

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

bivarhr-package | bivarhr: Bivariate Hurdle Regression
add_qsig | Add BH-adjusted q-values and significance stars
bivarhr | bivarhr: Bivariate Hurdle Regression
build_design | Build Design Matrices for Bivariate Hurdle Model
contrafactual_ATE | Contrafactual Average Treatment Effects (ATE) for the Bivariate Hurdle Model
disc_terciles | Discretize Numeric Vector into Terciles
export_results | Export Analysis Results
export_results_xlsx | Export Results to an Excel Workbook
fit_one | Fit Single Bivariate Hurdle Model
get_hurdle_model | Get Default Hurdle Model
load_saved_results | Load Saved Results from Directory
make_lags | Create Lag Matrix
placebo_temporal | Temporal Placebo Test via Time-Index Permutations
prewhiten_bin_glm | Pre-whiten binary series with logistic GLM
prewhiten_count_glm | Pre-whiten count series with GLM / NegBin model
prewhiten_rate_glm | Pre-whiten rate series with log-link Gaussian GLM
print.bivarhr_hmm | Print method for bivarhr_hmm objects
print_floor_smoketest | Print summary of FLOOR smoke test (ELPD ranking invariance)
read_bma_all | Read and consolidate BMA weight tables
rolling_oos | Rolling Out-of-Sample Forecast Evaluation
run_dbn | Fit a Two-Slice Dynamic Bayesian Network (DBN) for I, C, and Regime
run_eba | Extreme-Bounds Analysis (EBA) over Control-Variable Combinations
run_hmm | Hidden Markov Model (HMM) for Path Dependence (Counts I and C)
run_sensemakr | Sensitivity Analysis to Unobserved Confounding (sensemakr)
run_synth_bsts | Synthetic Control via BSTS (CausalImpact)
run_transfer_entropy | Transfer Entropy for Counts, Rates, and Binary Series
run_varx | Fit VARX model with diagnostics for I and C
select_by_bma | Select Best Model via Bayesian Model Averaging
smoketest_floor_elpd_invariance | Smoke Test for FLOOR ELPD Invariance
standardize_continuous | Standardize Continuous Columns
standardize_continuous_in_place | Standardize Continuous Columns In Place
summarise_hurdle_top3_posthoc | Summarise top-3 Hurdle-NB models across control combos
summarise_placebo_top3_posthoc | Summarise top-3 temporal placebo results
summarise_te_top3_by_type_posthoc | Summarise top-3 transfer entropy results by type
summarise_te_top3_posthoc | Summarise top-3 transfer entropy results (global)
summarise_tvarstar_posthoc | Summarise nonlinear time-series models (TVAR and LSTAR)
summarise_varx_posthoc | Summarise VARX model fit and diagnostics