ppc_brms: Fitted versus observed plot for brmsfit Objects

In lehuynh: Le-Huynh Truc-Ly's R Code and Templates

Fitted versus observed plot for brmsfit Objects

Description

Plot fitted versus observed values, including confidence interval (gray area) around best fit line (linear regression line) and prediction interval (dashed line).

Usage

ppc_brms(
  object,
  xtitle = "Observed value",
  ytitle = "Fitted value",
  dy = c(0.1, 0.1),
  dx = c(0.1, 0.1),
  cor = FALSE,
  equation = FALSE,
  xcor = NULL,
  ycor = NULL,
  xequ = NULL,
  yequ = NULL,
  ...
)

Arguments

object	An object of class brmsfit
xtitle	The text for the x-axis title
ytitle	The text for the y-axis title
dy	Distance from plot to y-axis
dx	Distance from plot to x-axis
cor	If TRUE, add correlation coefficients with p-values and R
equation	If TRUE, add regression line equation
xcor, ycor	numeric Coordinates (in data units) to be used for absolute positioning of the correlation coefficients
xequ, yequ	numeric Coordinates (in data units) to be used for absolute positioning of the regression line equation
...	Passed to lehuynh_theme()

Value

A ggplot object

Examples

## Not run: 

library(brms)

mod <- brm(count ~ zAge + zBase * Trt + (1|patient) + (1|obs),
           data = epilepsy,
           family = poisson())

ppc_brms(mod)
ppc_brms(mod, dy = c(0.02, 0.1), dx = c(0.005, 0.1))
ppc_brms(mod, cor = TRUE, equation = TRUE, yequ = 100)

## End(Not run)

lehuynh documentation built on June 22, 2024, 9:35 a.m.