posterior | R Documentation |
Generate posterior simulations for a given fitted linear or general linear model, assuming the standard "noninformative" priors on the unknowns.
posterior(obj, ...)
obj |
an object |
... |
further arguments |
A (named) list of random vectors. For example, the lm
method
returns a list with components sigma
(the residual s.d.) and
beta
, the regression coefficients.
Jouni Kerman jouni@kerman.com
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.
See also vignette("rv")
.
## Not run: x <- 1:20 y <- rnorm(length(x), mean=x, sd=10) print(summary(fit <- lm(y ~ x))) bayes.estimates <- posterior(fit) ## End(Not run)
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