sample_p1_p2: Samples values of pairs of logistic_2 dose-response...

In mellux-project/melluxdrc: melluxdrc

Samples values of pairs of logistic_2 dose-response parameters using models fit to Phillips et al. (2017) estimates

Description

Creates a set of dose-response curves – one per individual – supposed to mimic participants in an experiment. This is based on Bayesian models fit to parameter estimates from Phillips et al., (2017).

Usage

sample_p1_p2(n, p1_distribution_parameters, p2_distribution_parameters)

Arguments

n	the number of individual dose-response curves to generate
p1_distribution_parameters	a named list of items used to characterise the p1 distribution: cdf_inv_full, weight. Here cdf_inv is the inverse-cdf characterising the distribution of p1 distribution from Phillips et al. (2017); "weight" a number (0<=weight<=1) used to control the variance reduction in individual heterogeneity.
p2_distribution_parameters	a named list of items used to characterise the log_p2|p1 distribution. It comprises: "alpha" posteriors draws for the intercept in the regression of log_p2 on p1; "beta" posterior draws for slope parameter in the regression of log_p2 on p1; "sigma0" posterior draws for the constant noise term in the regression of log_p2 on p1; "sigma1" posterior draws for the heteroscedastic noise term in the regression of log_p2 on p1; "weight" a number (0<=weight<=1) used to control the variance reduction in individual heterogeneity.

Value

a tibble of p1 and p2 values for each individual dose-response curve

mellux-project/melluxdrc documentation built on March 25, 2022, 8:09 p.m.