calc_gauss_mix_pdf_mat: Calculate the density of a possibly truncated Gaussian...

In eehh-stanford/baydem: Bayesian Tools for Reconstructing Past and Present Demography

Calculate the density of a possibly truncated Gaussian mixture for a matrix of samples

Description

TH is a matrix of samples of a possibly truncated Gaussian mixture with dimensions S x P, where S is the number of samples and P is the number of parameters. Repeatedly call calc_gauss_mix_pdf to calculate the density function for each sample at the points in the vector tau, which has length G. The output density matrix, f_mat, has dimensions S x G. calc_gauss_mix_pdf_mat supports the same optional inputs as calc_gauss_mix_pdf: tau_min / tau_max to specify the boundaries of truncation and type to set whether the density, cumulative distribution, derivative, or rate is calculated.

Usage

calc_gauss_mix_pdf_mat(TH, tau, tau_min = NA, tau_max = NA, type = "density")

Arguments

TH	A matrix of samples with dimensions S x P
tau	A vector of points for the density calculation with length G
tau_min	(optional) The mininum time-value for truncation
tau_max	(optional) The maximum time-value for truncation
type	(optional) The type of calculation: density (default), cumulative, derivative, or rate

Value

The output matrix with dimensions S x G

eehh-stanford/baydem documentation built on June 3, 2024, 5:46 p.m.