pdist: Helper function that gives the probability distribution...

In indirect: Elicitation of Independent Conditional Means Priors for Generalised Linear Models

Description

Helper function that gives the probability distribution function for design point.

Usage

pdist(x, Z, design.pt = NULL, fit.method = "KL")

Arguments

x	numeric: coordinate
Z	list of design points and link function, see designLink
design.pt	integer: design point
fit.method	character: method for fit in mV, default is KL

Examples

# design matrix: two scenarios
X <- matrix(c(1, 1, 0, 1), nrow = 2) 
rownames(X) <- c("scenario1", "scenario2")
colnames(X) <- c("covariate1", "covariate2")
#' # logit link
# central credible intervals with probability = 1/2
Z <- designLink(design = X, link = "logit", CI.prob = 0.5)
#' # lower and upper quartiles and median
Z <- indirect::elicitPt(Z, design.pt = 1, 
  lower.CI.bound = 0.2,
  median = 0.4,
  upper.CI.bound = 0.6,
  comment = "Completed.")
indirect::plotDesignPoint(Z, design.pt = 1,   
  elicited.fractiles = TRUE, theta.bounds = c(0, 1),
  fitted.fractiles = TRUE, fitted.curve = TRUE)
  
# probability that target is below 0.1 and
# probability that target is below 0.9   
indirect::pdist(c(0.1, 0.9), Z, design.pt = 1)

indirect documentation built on Feb. 9, 2022, 9:07 a.m.