pbox (version 0.1.8)

qpbox: Query the probabilistic space of a pbox object.

Description

This function queries the probabilistic space of a pbox object to calculate probabilities associated with specific marginal or conditional distributions. It supports conditional probability calculations and can optionally estimate confidence intervals through bootstrapping.

This method processes the pbox object to compute probabilities based on the specified marginal and conditional parameters. It handles both simple probability calculations and complex queries involving joint and conditional distributions, with an option for bootstrap confidence interval estimation.

Usage

qpbox(
  pbx,
  mj = "character",
  co = "character",
  lower.tail = TRUE,
  fixed = FALSE,
  CI = FALSE,
  iter = 1000
)
# S4 method for pbox
qpbox(
  pbx,
  mj = "character",
  co = "character",
  lower.tail = TRUE,
  fixed = FALSE,
  CI = FALSE,
  iter = 1000
)

Value

Estimated probabilities as a numeric value or a named vector including confidence intervals if requested.

Arguments

pbx

An object of class pbox from which to query the probabilistic space.

mj

A character string specifying the marginal and or joint distribution of the variable. It must specify the variable and the value in the format 'Var:Val'.

co

A character string specifying the marginal and conditional distribution of the variable. It must specify the variable and the value in the format 'Var:Val'.

lower.tail

Logical; if TRUE (default), probabilities are calculated for the area to the right of the specified value.

fixed

Logical; if TRUE, calculates conditional probabilities with conditions treated as fixed.

CI

Logical; if TRUE, calculates bootstrap confidence intervals.

iter

Integer; the number of replications for the confidence interval calculation. Default is 1000.

Examples

  data("SEAex")
  pbx <- set_pbox(SEAex)
  # Get marginal distribution
  qpbox(pbx, mj="Malaysia:33")
  # Get conditional distribution
  qpbox(pbx, mj="Malaysia:33 & Vietnam:31", co="avgRegion:26")