checkpoints_qreg_2D: Multiple-output Bayesian quantile regression model

In brsantos/baquantreg: Bayesian quantile regression methods

Multiple-output Bayesian quantile regression model

Description

This function checks whether points belong to quantile regions or not, based on estimated models for models with 2 dimensions.

Usage

checkpoints_qreg_2D(
  datafile,
  response,
  points_y,
  x_values,
  path_folder = NULL,
  splines_part = FALSE,
  w_values = NULL,
  model_name = "bayesx.estim",
  name_var,
  lambda_a = NULL,
  ...
)

Arguments

datafile	A data.frame from which to find the variables defined in the formula.
response	Names of response variables
points_y	the exact points in Y, in which one wants to find its respective quantile region.
x_values	Fixed value of the predictor variables.
path_folder	The path where all results are stored.
splines_part	Logical value to indicate whether there are splines terms in the equation to draw the quantile contours.
w_values	Value to be considered in the nonlinear part of the model.
model_name	When results will be collected in a folder, this should be the name of the name considered by BayesX to save all tables. Default is 'bayesx.estim'.
name_var	When there is a nonlinear variable from which one wants to consider different values for plotting, this should have the name of the variable.
lambda_a	Parameter to be make the adjustment of the intercept to correct the miscoverage of the quantile regions.
...	Other parameters for summary.multBQR.

Value

A ggplot with the quantile regions based on Bayesian quantile regression model estimates.

brsantos/baquantreg documentation built on July 30, 2024, 1:59 p.m.