CI: Calculation of the posterior credible intervals for...
| CI | R Documentation |
Calculation of the posterior credible intervals for regression parameters
Description
Calculation of the posterior credible intervals for regression parameters
Usage
CI(SIMP.fit, combined = T, Chain.no = 1, levels = 0.95)
Arguments
SIMP.fit |
The MCMC output from |
combined |
Logical. Indicate whether posterior samples (after burn-in) from all chains should be combined to calculate the posterior credible interval. If there is only one chain, then there is no difference by indicating this parameter to be TRUE or FALSE. |
Chain.no |
If combined = FALSE, we need to indicate which chain should be used for the calculation of posterior credible interval. Chain.no must be an integer between 1 and the number of chains. |
levels |
Significance level, default to be 0.95. |
Examples
## Not run:
library(SIMP)
library(Renvlp)
data(wheatprotein) # Load Renvlp package only for wheatprotein dataset.
set.seed(1)
X1C = wheatprotein[, 4:5]
X1D = as.matrix(wheatprotein[, 8], ncol = 1)
X2 = wheatprotein[, 6:7]
Y = wheatprotein[, 1:3]
MC_output <- SIMP(X1C = X1C, X1D = X1D, X2 = X2,
Y = Y, dx = 1, dy = 1, n.iter = 1e4)
CI(MC_output)
## End(Not run)
