Package: starma 1.3
starma: Modelling Space Time AutoRegressive Moving Average (STARMA) Processes
Statistical functions to identify, estimate and diagnose a Space-Time AutoRegressive Moving Average (STARMA) model.
Authors:
starma_1.3.tar.gz
starma_1.3.tar.gz(r-4.5-noble)starma_1.3.tar.gz(r-4.4-noble)
starma_1.3.tgz(r-4.4-emscripten)starma_1.3.tgz(r-4.3-emscripten)
starma.pdf |starma.html✨
starma/json (API)
# Install 'starma' in R: |
install.packages('starma', 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:1e5d9bf53f. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | OK | Dec 02 2024 |
Exports:print.starmaprint.stcor.testprint.summary.starmastacfstacfCPPstarmastarma.defaultstarmaCPPstcenterstcor.teststcor.test.defaultstcovstcovCPPstpacfstpacfCPPstplotsummary.starma
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Space Time AutoRegressive Moving Average (STARMA) modelling for space-time series | starma-package |
Neighbourhood weight matrices for France's 94 departments | blist dlist klist nb_mat |
Space-time autocorrelation functions | stacf stpacf |
Space-time series estimation procedure | print.starma starma starma.default |
Space-time centering and scaling function | stcenter |
Space-time series non correlation test | print.stcor.test stcor.test stcor.test.default |
Space-time covariance function | stcov |
Plot for space-time series autocorrelation functions | stplot |
Summary method for space-time series fitted models | print.summary.starma summary.starma |