
Last chance! 50% off unlimited learning
Sale ends in
Performs a goodness-of-fit test for the estimated conditional probability density function (PDF) using probability inverse transformation method.
plotGOF(object, getAll = FALSE)
An object of class SPQR
.
If TRUE
and SPQR is fitted with method = "MCMC"
, plots all posterior samples of Q-Q lines. Default: FALSE
.
A ggplot
object.
# NOT RUN {
set.seed(919)
n <- 200
X <- rbinom(n, 1, 0.5)
Y <- rnorm(n, X, 0.8)
control <- list(iter = 200, warmup = 150, thin = 1)
fit <- SPQR(X = X, Y = Y, method = "MCMC", control = control,
normalize = TRUE, verbose = FALSE)
## Goodness-of-fit test
plotGOF(fit)
# }
Run the code above in your browser using DataLab