Summary of BmaSamples object | R Documentation |
Calculate and print the summary of a BmaSamples
object,
using S3 methods for the class.
## S3 method for class 'BmaSamples' summary(object, level = 0.95, hpd = TRUE, ...) ## S3 method for class 'summary.BmaSamples' print(x, table = TRUE, ...)
object |
a valid |
level |
credible level for coefficients credible intervals |
hpd |
should emprical hpd intervals be used (default) or simple quantile-based? |
x |
a return value of |
table |
should the model table been shown? (default) |
... |
unused |
The summary method returns an S3 object, where “sampleSize”,
“modelData” and “modelFreqs” are copied from the
BmaSamples
object, please see its help page for the
details. “intervalType” and “level” copy the function's
parameters.
“summaryMat” contains the posterior summaries for the intercept and uncertain fixed form covariates. “sigma2Sum” and “shrinkageSum” contain the posterior summaries for the regression variance and the shrinkage factor, respectively. The summaries are always the median, mean, lower and upper credible bounds for the coefficients.
Daniel Saban\'es Bov\'e
summary.BayesMfp
## generate a BmaSamples object set.seed(19) x1 <- rnorm(n=15) x2 <- rbinom(n=15, size=20, prob=0.5) x3 <- rexp(n=15) y <- rt(n=15, df=2) test <- BayesMfp(y ~ bfp (x2, max = 4) + uc (x1 + x3), nModels = 100, method="exhaustive") testBma <- BmaSamples(test) ## look at the summary summary(testBma) ## and its structure str(summary(testBma))
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