sim_sar: Simulates a SAR model
In gvegayon/sarabc: Estimation of Spatial Autocorrelation Models using Aproximate Bayesian Computation

Simulates a SAR model

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sim_sar(G, X, rho, beta, p = 5, xmean = rep(0, nrow(G)))

sar_sim(G, X, rho, beta, p = 5, xmean = rep(0, nrow(G)))

`G`	Square matrix of class `dgCMatrix` of size nn*.
`X`	Numeric matrix of covariates of size n k*.
`rho`	Numeric scalar.
`beta`	Numeric colvector of length k.
`p`	Number of iterations in the approximation to (I_n - ρ W)^{-1}.
`xmean`	Numeric vector of length n.

Follows a model SAR

y = rho * W * y + X*beta + eps, eps ~ MVN(0, sigma^2 *I_n)

A numeric vector of length n.

gvegayon/sarabc documentation built on May 17, 2019, 9:30 a.m.

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