plot_GRS: Plot Gelman-Rubin statistic.

In hplieninger/mpt2irt: Bringing Multinomial Processing Tree Models To Item Response Theory To Investigate Response Styles

Description

Plot a histogram of the Gelman and Rubin's convergence diagnostic.

Usage

plot_GRS(fit, parameter = "beta", estimate = "point", plot = TRUE,
  return.odd = TRUE, ...)

Arguments

fit	a fitted object from fit_irtree or preferably from tidyup_irtree_fit. person) or a numeric value specifying the trait value used to plot response styles (e.g., trait=0 for an average person)
parameter	Character. The group of parameters for which the statistic is to be calculated. Using the empty vector ("") uses all parameters in fit.
estimate	Character, either "point" or "upper". Whether the point estimate or the upper limit of the 95% CI is to be used.
plot	Logical. Either return a histogram or the results.
return.odd	Logical. Whether the output for (odd) parameters with a point estimate > 1.05 should be returned.
...	Optional arguments passed to hist.

See Also

gelman.diag

hplieninger/mpt2irt documentation built on May 17, 2019, 4:54 p.m.