R/gaussian_mixture_model_functions.R
calc_gauss_mix_pdf_mat.RdTH 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.
calc_gauss_mix_pdf_mat(TH, tau, tau_min = NA, tau_max = NA, type = "density")
| 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 |
The output matrix with dimensions S x G