Multiply Standard Deviation of Priors By
Usage
sd_priors_by(x, by = 10, distributions = c("normal", "lognormal", "t"), ...)
# S3 method for class 'mb_model'
sd_priors_by(x, by = 10, distributions = c("normal", "lognormal", "t"), ...)
# S3 method for class 'mb_analysis'
sd_priors_by(
x,
by = 10,
distributions = c("normal", "lognormal", "t"),
parallel = getOption("mb.parallel", FALSE),
quiet = getOption("mb.quiet", TRUE),
glance = getOption("mb.glance", TRUE),
beep = getOption("mb.beep", TRUE),
...
)Arguments
- x
The object.
- by
A double scalar of the multiplier.
- distributions
A character vector of the distributions to adjust. Possible values are "laplace" (double exponential), "logistic", "lognormal", "normal", "t" and "nt" (non-central Student t).
- ...
Not used.
- parallel
A flag indicating whether to perform the analysis in parallel if possible.
- quiet
A flag indicating whether to disable messages and warnings, including sampling progress.
- glance
A flag indicating whether to print a model summary.
- beep
A flag indicating whether to beep on completion of the analysis.