elicitBeta: A function that helps you elicits beta prior parameters.

In tbrown122387/mmcmc: Miscellaneous Markov Chain Monte Carlo Functions.

Description

This function takes some analyst specifications and returns the "best" parameter tuple that satisfies your criteria. The analyst specifies an ideal average for the value, and an interval (along with a given confidence percentage). If there are tuples that possess, both, coverage probabilities below and above the given percentage, this function will return the tuple that a.) yields the given mean, and b.) that is closest to the desired percentage. If there is no "crossing" then NULL is returned. Optionally, this function will plot the coverage probabilities.

Usage

elicitBeta(ideal_mean, percent_ci, lower_ci, upper_ci, beta_grid_left,
  beta_grid_right, beta_increment, plot = T)

Arguments

ideal_mean	desired mean for your random variable
percent_ci	what percent confidence do you want (e.g. .95)
lower_ci	what is the lower bound on your interval?
upper_ci	what is the upper bound on your interval?
beta_grid_left	what is the lowest beta value for your grid?
beta_grid_right	what is the highest beta value for your grid?
beta_increment	how spaced apart do you want each beta grid element?
plot	whether a plot should be given as a side effect

Examples

smart_pairs(fake_df, 100)

tbrown122387/mmcmc documentation built on Dec. 31, 2019, 12:34 p.m.