mcp (version 0.3.3)

get_quantiles: Expand samples with quantiles

Description

TO DO: implement using fitted() and predict() but avoid double-computing the samples? E.g.: get_quantiles2 = function(fit, quantiles, facet_by = NULL) { fitted(fit, probs = c(0.1, 0.5, 0.9), newdata = data.frame(x = c(11, 50, 100))) %>% tidyr::pivot_longer(tidyselect::starts_with("Q")) %>% dplyr::mutate(quantile = stringr::str_remove(name, "Q") %>% as.numeric() / 100) }

Usage

get_quantiles(samples, quantiles, xvar, yvar, facet_by = NULL)

Value

A tidybayes long format tibble with the column "quantile"

Arguments

samples

A tidybayes tibble

quantiles

Vector of quantiles (0.0 to 1.0)

xvar

An rlang::sym() with the name of the x-col in samples

yvar

An rlang::sym() with the name of the response col in samples

facet_by

String. Name of a varying group.

Author

Jonas Kristoffer Lindeløv