Package index • bsvarPost

Posterior Summaries and Cumulative Responses

compare_irf(): Compare posterior impulse responses across model specifications
compare_cdm(): Compare cumulative dynamic responses across model specifications
compare_fevd(): Compare forecast error variance decompositions across model specifications
compare_forecast(): Compare posterior forecasts across model specifications

hypothesis_irf(): Posterior probability statements for impulse responses
hypothesis_cdm(): Posterior probability statements for cumulative dynamic multipliers
joint_hypothesis_irf(): Joint posterior probability statements for impulse responses
joint_hypothesis_cdm(): Joint posterior probability statements for cumulative dynamic multipliers
magnitude_audit(): Evaluate magnitude hypotheses for IRFs or CDMs
simultaneous_irf(): Simultaneous posterior bands for impulse responses
simultaneous_cdm(): Simultaneous posterior bands for cumulative dynamic multipliers
plot_hypothesis(): Plot posterior probability statements for IRFs or CDMs
plot_joint_hypothesis(): Plot joint posterior probability statements
plot_simultaneous(): Plot simultaneous posterior bands

representative_irf(): Representative impulse responses
representative_cdm(): Representative cumulative dynamic multipliers
median_target_irf(): Median-target representative impulse responses
median_target_cdm(): Median-target representative cumulative dynamic multipliers
peak_response(): Peak response summaries for posterior IRFs and CDMs
duration_response(): Duration summaries for posterior IRFs and CDMs
half_life_response(): Half-life summaries for posterior IRFs and CDMs
time_to_threshold(): Time-to-threshold summaries for posterior IRFs and CDMs
compare_peak_response(): Compare peak responses across model specifications
compare_duration_response(): Compare response durations across model specifications
compare_half_life_response(): Compare response half-lives across model specifications
compare_time_to_threshold(): Compare response thresholds across model specifications
plot_compare_response(): Visualise response timing and persistence across model specifications

tidy_hd_event(): Summarise historical-decomposition contributions over selected periods
compare_hd_event(): Compare historical-period shock contributions across model specifications
shock_ranking(): Rank structural shocks by contributions over selected periods
plot_shock_ranking(): Visualise ranked shock contributions over selected historical periods
plot_hd_event(): Visualise shock contributions over selected historical periods
plot_hd_event_share(): Plot event contribution shares
plot_hd_event_cumulative(): Plot cumulative event-window contribution paths
plot_hd_event_distribution(): Plot event-window contribution uncertainty by shock
plot_hd_lines(): Plot full-sample historical decomposition components
plot_hd_overlay(): Overlay historical decomposition component paths
plot_hd_stacked(): Stacked historical decomposition contributions over time
plot_hd_total(): Plot observed and reconstructed decomposition totals

most_likely_admissible_irf(): Most-likely-admissible representative impulse responses
most_likely_admissible_cdm(): Most-likely-admissible representative cumulative dynamic multipliers
irf_restriction(): Create an impulse-response restriction specification
structural_restriction(): Create a structural restriction specification
narrative_restriction(): Create a narrative restriction specification
restriction_audit(): Evaluate sign, zero, structural, and narrative restrictions
acceptance_diagnostics(): Acceptance and admissibility diagnostics for bsvarSIGNs
compare_restrictions(): Compare posterior restriction probabilities across model specifications
compare_acceptance_diagnostics(): Compare acceptance diagnostics across model specifications
plot_restriction_audit(): Visualise posterior restriction probabilities
plot_compare_restrictions(): Visualise posterior restriction probabilities across model specifications
plot_acceptance_diagnostics(): Visualise acceptance diagnostics across model specifications

autoplot(<bsvar_post_tbl>): Visualise posterior summaries
theme_bsvarpost(): Plot theme for posterior summaries
style_bsvar_plot(): Apply a consistent graphical style to posterior summaries
template_bsvar_plot(): Apply graphical conventions for a posterior quantity
annotate_bsvar_plot(): Add titles and captions to posterior-summary plots
publish_bsvar_plot(): Visualise posterior results with consistent graphical conventions
report_bundle(): Combine posterior summaries, figures, and captions
report_table(): Prepare tables of posterior results
as_kable(): Render bsvarPost tables with knitr::kable
as_gt(): Render bsvarPost tables with gt
as_flextable(): Render bsvarPost tables with flextable
write_bsvar_csv(): Export bsvarPost tables to CSV
print(<bsvar_report_bundle>): Print bsvar_report_bundle objects

as_tsibble_post(): Express posterior summaries as a tsibble
as_apr_cond_forc(): Express posterior forecasts in APRScenario format
tidy_apr_forecast(): Express APRScenario forecasts as posterior summary tables
apr_gen_mats(): Compute conditional-forecast matrices with APRScenario

resolve_horizon(): Resolve horizon to a validated integer, defaulting to 20
validate_horizon(): Validate a horizon parameter
validate_probability(): Validate a probability parameter
validate_posterior_object(): Validate a posterior model object
deprecate_arg(): Handle deprecated argument with warning