calc_acf: Calculate residual autocorrelation

In bentrueman/bgamcar1: Fit Bayesian GAMs With CAR(1) Errors To Censored Data

Calculate residual autocorrelation

Description

Calculate residual autocorrelation

Usage

calc_acf(x, ..., gr_vars = NULL, cen_var = NULL)

Arguments

x	A data.frame
...	Arguments passed to a data.table chain for subsetting the data.frame after calculating the lagged residual/censoring vectors.
gr_vars	Calculate lagged residual/censoring vector within these groups.
cen_var	Name of the censoring variable to be (optionally) lagged.

Value

A tibble with a Spearman rank correlation coefficient for each residual draw.

Examples

res <- data.frame(
  .draw = 1,
  .residual = c(1:9, -1e2),
  location = "a"
)
calc_acf(res, gr_vars = c(".draw", "location"))

bentrueman/bgamcar1 documentation built on July 6, 2024, 11:16 p.m.