dgpdsub: Densities for 5 predictions

In fitdistcp: Distribution Fitting with Calibrating Priors for Commonly Used Distributions

Densities for 5 predictions

Description

Densities for 5 predictions

Usage

dgpdsub(
  x,
  y,
  ics,
  fd1 = 0.01,
  d2 = 0.01,
  kloc = 0,
  dlogpi = 0,
  minxi,
  maxxi,
  extramodels = FALSE,
  aderivs = TRUE
)

Arguments

x	a vector of training data values
y	a vector of values at which to calculate the density and distribution functions
ics	initial conditions for the maximum likelihood search
fd1	the fractional delta used in the numerical derivatives with respect to the parameter
d2	the delta used in the numerical derivatives with respect to the parameter
kloc	the known location parameter
dlogpi	gradient of the log prior
minxi	minimum value of shape parameter xi
maxxi	maximum value of shape parameter xi
extramodels	logical that indicates whether to add three additional prediction models
aderivs	logical for whether to use analytic derivatives (instead of numerical)

Value

A vector of parameter estimates, two pdf vectors, two cdf vectors

fitdistcp documentation built on June 8, 2025, 1:04 p.m.