powered by
Compute the point estimate (mean) to describe posterior distribution. For multiple chains, combines all chains to compute a more robust estimate.
estimate(object, ...)# S3 method for bspcov estimate(object, ...)
# S3 method for bspcov estimate(object, ...)
the point estimate (mean) of covariance matrix. For multiple chains, uses combined samples from all chains.
an object from bandPPP, bmspcov, sbmspcov, and thresPPP.
additional arguments for estimate.
Seongil Jo and Kyeongwon Lee
plot.postmean.bspcov
n <- 25 p <- 50 Sigma0 <- diag(1, p) X <- MASS::mvrnorm(n = n, mu = rep(0, p), Sigma = Sigma0) res <- bspcov::bandPPP(X,2,0.01,nsample=100) est <- bspcov::estimate(res)
Run the code above in your browser using DataLab