Parameters for beta distribution from interpretable conditions: For the normal distribution, this is straightforward, as the parameters reflect the expected value and variance.
Rather than knowing intrinsically what parameters are required for a distribution, scientists tend to have a sense of what value they expect a measure to take, how many observations should fall within a certain distance of that value.
For the normal distribution, this is straightforward, as the parameters reflect the expected value and variance. However, for the beta distribution, the parameters are not so readily interpretable.
parameterpal:: provides a means of obtaining the parameters required for the beta distribution from interpretable conditions.
devtools::install_github("softloud/parameterpal", build_vignettes = TRUE)
After installation, the
parameterpal:: tutorial will be available in
the Tutorial pane of Rstudio.
## executing this code will launch the tutorial in your browser learnr::run_tutorial("ppalhelp", package = "parameterpal")
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