
Package index
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bpvars-package
bpvars
- Forecasting with Bayesian Panel Vector Autoregressions
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ilo_conditional_forecasts
- Data containing conditional projections for the logarithm of GDP (gdp) for 189 United Nations countries from 2024 to 2029
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ilo_dynamic_panel
- A 4-variable annual system for forecasting labour market outcomes for 189 United Nations countries from 1991 to 2023
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ilo_exogenous_forecasts
- Data containing future observations for 189 United Nations countries from 2024 to 2029 to be used to forecast with models with
ilo_exogenous_variables
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ilo_exogenous_variables
- A 3-variable annual system for of dummy observations for 2008, 2020, and 2021 to be used in the estimation of the Panel VAR model for 189 United Nations countries from 1991 to 2023
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country_grouping_incomegroup
- A vector with country grouping by income group for 189 countries
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country_grouping_region
- A vector with country grouping by region for 189 countries
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country_grouping_subregionbroad
- A vector with country grouping by subregion for 189 countries
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country_grouping_subregiondetailed
- A vector with country grouping by detailed subregion for 189 countries
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specify_bvarPANEL
- R6 Class representing the specification of the BVARPANEL model
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specify_bvarGroupPANEL
- R6 Class representing the specification of the BVARGROUPPANEL model
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specify_prior_bvarPANEL
- R6 Class Representing PriorBVARPANEL
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specify_starting_values_bvarGroupPANEL
- R6 Class Representing StartingValuesBVARGROUPPANEL
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specify_starting_values_bvarPANEL
- R6 Class Representing StartingValuesBVARPANEL
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specify_panel_data_matrices
- R6 Class Representing DataMatricesBVARPANEL
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estimate(<BVARGROUPPANEL>)
- Bayesian estimation of a Bayesian Hierarchical Panel Vector Autoregression with fixed or estimated country grouping
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estimate(<BVARPANEL>)
- Bayesian estimation of a Bayesian Hierarchical Panel Vector Autoregression using Gibbs sampler
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estimate(<PosteriorBVARGROUPPANEL>)
- Bayesian estimation of a Bayesian Hierarchical Panel Vector Autoregression with fixed or estimated country grouping
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estimate(<PosteriorBVARPANEL>)
- Bayesian estimation of a Bayesian Hierarchical Panel Vector Autoregression using Gibbs sampler
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specify_posterior_bvarGroupPANEL
- R6 Class Representing PosteriorBVARGROUPPANEL
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specify_posterior_bvarPANEL
- R6 Class Representing PosteriorBVARPANEL
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summary(<ForecastsPANEL>)
- Provides posterior summary of country-specific Forecasts
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summary(<PosteriorBVARPANEL>)
- Provides posterior estimation summary for Bayesian Hierarchical Panel Vector Autoregressions
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summary(<PosteriorFEVDPANEL>)
- Provides posterior summary of forecast error variance decompositions
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forecast(<PosteriorBVARPANEL>)
- Forecasting using Hierarchical Panel Vector Autoregressions
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ilo_conditional_forecasts
- Data containing conditional projections for the logarithm of GDP (gdp) for 189 United Nations countries from 2024 to 2029
-
ilo_exogenous_forecasts
- Data containing future observations for 189 United Nations countries from 2024 to 2029 to be used to forecast with models with
ilo_exogenous_variables
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compute_variance_decompositions(<PosteriorBVARPANEL>)
- Computes posterior draws of the forecast error variance decomposition
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plot(<ForecastsPANEL>)
- Plots fitted values of dependent variables
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plot(<PosteriorFEVDPANEL>)
- Plots forecast error variance decompositions