Package: lgarch 0.6-2
Genaro Sucarrat
lgarch: Simulation and Estimation of Log-GARCH Models
Simulation and estimation of univariate and multivariate log-GARCH models. The main functions of the package are: lgarchSim(), mlgarchSim(), lgarch() and mlgarch(). The first two functions simulate from a univariate and a multivariate log-GARCH model, respectively, whereas the latter two estimate a univariate and multivariate log-GARCH model, respectively.
Authors:
lgarch_0.6-2.tar.gz
lgarch_0.6-2.tar.gz(r-4.5-noble)lgarch_0.6-2.tar.gz(r-4.4-noble)
lgarch_0.6-2.tgz(r-4.4-emscripten)lgarch_0.6-2.tgz(r-4.3-emscripten)
lgarch.pdf |lgarch.html✨
lgarch/json (API)
NEWS
# Install 'lgarch' in R: |
install.packages('lgarch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:ea742e22c8. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 21 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 21 2024 |
Exports:gdiffglaglgarchlgarchObjectivelgarchRecursion1lgarchSimmlgarchmlgarchObjectivemlgarchRecursion1mlgarchSimrmnormrss
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Simulation and estimation of log-GARCH models | lgarch-package |
Extraction methods for 'lgarch' objects | coef.lgarch fitted.lgarch logLik.lgarch print.lgarch residuals.lgarch rss summary.lgarch vcov.lgarch |
Extraction methods for 'mlgarch' objects | coef.mlgarch fitted.mlgarch logLik.mlgarch print.mlgarch residuals.mlgarch summary.mlgarch vcov.mlgarch |
Difference a vector or a matrix, with special treatment of zoo objects | gdiff |
Lag a vector or a matrix, with special treatment of zoo objects | glag |
Estimate a log-GARCH model | lgarch |
Auxiliary functions | lgarchObjective lgarchRecursion1 |
Simulate from a univariate log-GARCH model | lgarchSim |
Estimate a multivariate CCC-log-GARCH(1,1) model | mlgarch |
Auxiliary functions | mlgarchObjective mlgarchRecursion1 |
Simulate from a multivariate log-GARCH(1,1) model | mlgarchSim |
Random number generation from the multivariate normal distribution | rmnorm |