nmmarquez/ar.matrix
Simulate Auto Regressive data from precision matricies.

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Vignettes
Man pages
6
Popular Man pages
Q.AR1: Precision matrix for an AR1 process Q.iid: Precision matrix for a IID process Q.lCAR: Precision matrix for a pCAR process Q.mBYM: Modified Precision matrix for a BYM process Q.pCAR: Precision matrix for a pCAR process sim.AR: Simulate correlated data from a precision matrix.
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API
22
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sim.AR r.pCAR Q.pCAR r.mBYM Q.mBYM r.lCAR Q.lCAR
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Source code
13
Popular Source code
R/Q.pCAR.R R/r.AR1.R R/r.iid.R R/r.lCAR.R R/r.mBYM.R R/r.pCAR.R R/simAR.R
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nmmarquez/ar.matrix: Simulate Auto Regressive data from precision matricies.

nmmarquez/ar.matrix: Simulate Auto Regressive data from precision matricies.
Version 0.1.0

Using sparse precision matricies and Choleski factorization simulates data that is auto-regressive.

Getting started

README.md

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Vignettes Man pages API and functions Files

Package details
AuthorNeal Marquez
MaintainerNeal Marquez <[email protected]>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R: 
install.packages("devtools")
library(devtools)
install_github("nmmarquez/ar.matrix")
nmmarquez/ar.matrix documentation built on May 23, 2017, 3:52 p.m.

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