Multiply Standard Deviation of Priors By

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 tracing information.
glance: A flag indicating whether to print a model summary.
beep: A flag indicating whether to beep on completion of the analysis.

Value

The updated object.

Methods (by class)

sd_priors_by(mb_model): Multiply Standard Deviation of Priors for an MB model
sd_priors_by(mb_analysis): Multiply Standard Deviation of Priors for an MB analysis