log_prior_pdf: Compute the natural log of the PDF for the parameters in an...

In andrewhooker/PopED: Population (and Individual) Optimal Experimental Design

Compute the natural log of the PDF for the parameters in an E-family design

Description

Compute the natural log of the PDF for the parameters in an E-family design

Usage

log_prior_pdf(
  alpha,
  bpopdescr,
  ddescr,
  return_gradient = F,
  return_hessian = F
)

Arguments

alpha	A parameter vector.
bpopdescr	Matrix defining the fixed effects, per row (row number = parameter_number) we should have: column 1 the type of the distribution for E-family designs (0 = Fixed, 1 = Normal, 2 = Uniform, 3 = User Defined Distribution, 4 = lognormal and 5 = truncated normal) column 2 defines the mean. column 3 defines the variance of the distribution (or length of uniform distribution).
ddescr	Matrix defining the diagonals of the IIV (same logic as for the bpopdescr).
return_gradient	Should the gradient be returned.
return_hessian	Should the hessian be returned?

andrewhooker/PopED documentation built on Nov. 23, 2023, 1:37 a.m.