Package: gasmodel 0.6.0.9000

Vladimír Holý

gasmodel: Generalized Autoregressive Score Models

Estimation, forecasting, and simulation of generalized autoregressive score (GAS) models of Creal, Koopman, and Lucas (2013) <doi:10.1002/jae.1279> and Harvey (2013) <doi:10.1017/cbo9781139540933>. Model specification allows for various data types and distributions, different parametrizations, exogenous variables, joint and separate modeling of exogenous variables and dynamics, higher score and autoregressive orders, custom and unconditional initial values of time-varying parameters, fixed and bounded values of coefficients, and missing values. Model estimation is performed by the maximum likelihood method.

Authors:Vladimír Holý [aut, cre]

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gasmodel.pdf |gasmodel.html
gasmodel/json (API)
NEWS

# Install 'gasmodel' in R:
install.packages('gasmodel', repos = c('https://vladimirholy.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/vladimirholy/gasmodel/issues

Datasets:

On CRAN:

dcsgastime-series

20 exports 12 stars 1.97 score 55 dependencies 1 scripts 284 downloads

Last updated 8 months agofrom:9d009496e2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-winOKSep 03 2024
R-4.5-linuxOKSep 03 2024
R-4.4-winOKSep 03 2024
R-4.4-macOKSep 03 2024
R-4.3-winOKSep 03 2024
R-4.3-macOKSep 03 2024

Exports:distrdistr_densitydistr_fisherdistr_meandistr_randomdistr_scoredistr_vargasgas_bootstrapgas_filtergas_forecastgas_simulatewrapper_hessian_numderivwrapper_hessian_pracmawrapper_hessian_statswrapper_optim_nloptrwrapper_optim_statswrapper_parallel_multicorewrapper_parallel_nonewrapper_parallel_snow

Dependencies:abindADGofTestarrangementsBHbootCircStatsclicolorspacecopulacpp11dplyrfansifarvergenericsggplot2gluegmpgslgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvnfastmvtnormnlmenloptrnumDerivpcaPPpillarpkgconfigpracmapsplinepurrrR6RColorBrewerRcppRcppArmadillorlangscalesstablediststringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Case Study: Bookshop Orders

Rendered fromcase_durations.Rmdusingknitr::rmarkdownon Sep 03 2024.

Last update: 2024-02-01
Started: 2022-03-31

Case Study: Ice Hockey Rankings

Rendered fromcase_rankings.Rmdusingknitr::rmarkdownon Sep 03 2024.

Last update: 2024-02-01
Started: 2022-03-31

Comparison with the GAS Package

Rendered fromcompare_gas.Rmdusingknitr::rmarkdownon Sep 03 2024.

Last update: 2024-01-30
Started: 2024-01-29

Probability Distributions

Rendered fromdistributions.Rmdusingknitr::rmarkdownon Sep 03 2024.

Last update: 2024-01-16
Started: 2022-05-16

Readme and manuals

Help Manual

Help pageTopics
Antiquarian Bookshop Ordersbookshop_orders
Get the Table of Supported Distributionsdistr
Compute Densitydistr_density
Compute Fisher Informationdistr_fisher
Compute Meandistr_mean
Generate Random Observationsdistr_random
Compute Scoredistr_score
Compute Variancedistr_var
Estimate GAS Modelgas
Bootstrap GAS Modelgas_bootstrap
Filter GAS Modelgas_filter
Forecast GAS Modelgas_forecast
Simulate GAS Modelgas_simulate
Results of the Ice Hockey World Championshipsice_hockey_championships
Daily Toilet Paper Salestoilet_paper_sales
Wrappers for Hessian Functionswrappers_hessian wrapper_hessian_numderiv wrapper_hessian_pracma wrapper_hessian_stats
Wrappers for Optimization Functionswrappers_optim wrapper_optim_nloptr wrapper_optim_stats
Wrappers for Parallelization Functionswrappers_parallel wrapper_parallel_multicore wrapper_parallel_none wrapper_parallel_snow