get_quantiles: Expand samples with quantiles
In mcp: Regression with Multiple Change Points

get_quantiles

R Documentation

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)

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.