cumulative.bdlim: Summary of the cumulative effect for BDLIM

In AnderWilson/regimes: Regression in Multivariate Exposure Settings

Summary of the cumulative effect for BDLIM

Description

Summary of the cumulative effect for BDLIM

Usage

## S3 method for class 'bdlim'
cumulative(fit, inter.model, alphalevel = 0.05, hpd.interval = FALSE)

Arguments

fit	An object of class 'bdlim'.
inter.model	Model to be summarized. The default is inter.model=1 indicating to summarize the best fitting model. inter.model=2, 3, or 4 indicates to summarized the second, third, or fourth best fitting model respectively. Model fit is determined by posterior probability. Alternative, 'BDLIM_n', 'BDLIM_bw', 'BDLIM_b', or 'BDLIM_w' can be entered to return a specific model.
alphalevel	The alpha level for the posterior intervals.
hpd.interval	Logical indicating if highest posterior density intervals should be computed (TRUE) or symmetric intervals (FALSE, default)

Value

Data.frame summarizing the posterior distribution.

AnderWilson/regimes documentation built on Aug. 5, 2023, 8:30 a.m.