Package: ar.matrix 0.1.0
Neal Marquez
ar.matrix: Simulate Auto Regressive Data from Precision Matrices
Using sparse precision matrices and Cholesky factorization simulates data that is auto-regressive.
Authors:
ar.matrix_0.1.0.tar.gz
ar.matrix_0.1.0.zip(r-4.5)ar.matrix_0.1.0.zip(r-4.4)ar.matrix_0.1.0.zip(r-4.3)
ar.matrix_0.1.0.tgz(r-4.4-any)ar.matrix_0.1.0.tgz(r-4.3-any)
ar.matrix_0.1.0.tar.gz(r-4.5-noble)ar.matrix_0.1.0.tar.gz(r-4.4-noble)
ar.matrix_0.1.0.tgz(r-4.4-emscripten)ar.matrix_0.1.0.tgz(r-4.3-emscripten)
ar.matrix.pdf |ar.matrix.html✨
ar.matrix/json (API)
| # Install 'ar.matrix' in R: |
| install.packages('ar.matrix', repos = c('https://nmmarquez.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nmmarquez/ar.matrix/issues
Datasets:
Last updated 6 years agofrom:c8f75efb08. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 10 2024 |
| R-4.5-win | NOTE | Oct 10 2024 |
| R-4.5-linux | NOTE | Oct 10 2024 |
| R-4.4-win | NOTE | Oct 10 2024 |
| R-4.4-mac | NOTE | Oct 10 2024 |
| R-4.3-win | NOTE | Oct 10 2024 |
| R-4.3-mac | NOTE | Oct 10 2024 |
Exports:Q.AR1Q.iidQ.lCARQ.mBYMQ.pCARQ.RW1Q.RW2r.AR1r.iidr.lCARr.mBYMr.pCARr.RW1r.RW2sim.ARsim.GMRF
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Precision matrix for an AR1 process | Q.AR1 r.AR1 |
| Precision matrix for a IID process | Q.iid r.iid |
| Precision matrix for a pCAR process | Q.lCAR r.lCAR |
| Modified Precision matrix for a BYM process | Q.mBYM r.mBYM |
| Precision matrix for a pCAR process | Q.pCAR r.pCAR |
| Precision matrix for an RW1 process | Q.RW1 r.RW1 |
| Precision matrix for an RW2 process | Q.RW2 r.RW2 |
| Simulate correlated data from a precision matrix. | sim.AR |
| Simulate correlated data from a precision matrix. | sim.GMRF |
| Spatial Polygons Data Frame of Counties for Several States | US.df |
| Matrix of Shared Boundaries Between US.df Counties | US.graph |
