predict.GPDP_MCMC: Predicts GPDPQuantReg
In opardo/GPDPQuantReg: Bayesian and Nonparametric Quantile Regression Modelling

Description Usage Arguments Value Author(s) Examples

View source: R/prediction.R

Predicts after fitting a GPDPQuantReg

1 2	## S3 method for class 'GPDP_MCMC' predict(GPDP_MCMC, predictive_data, credibility = 0.95)

`GPDP_MCMC`	A GPDP_MCMC object
`predictive_data`	data frame with the new X values, for prediction
`credibility`	real between (0,1), size of the prediction's credible interval

prediction data frame with the mean, median, lower and upper values for each x

Omar Pardo (omarpardog@gmail.com)

m <- 35
x <- sort(sample(seq(-15, 15, 0.005), m))
f_x <- function(x) return((1/40) * x^2 - (1/20) * x - 2)
data <- data.frame(x = x, y = f_x(x) + rnorm(m, 0, 1))
GPDP_MCMC <- fit_GPDPQuantReg(y ~ x, data, p = 0.250)
predictive_data <- data_frame(x = seq(-15, 15, 0.1))
credibility <- 0.90
predict(GPDP_MCMC, predictive_data, credibility)