ny_u: Conditional negative log-likelihood

In RestoreNet: Random-Effects Stochastic Reaction Networks

Conditional negative log-likelihood

Description

Conditional negative log-likelihood -l(y \vert u) of y given the random effects u

Usage

ny_u(theta, Z, X, y, V, VCNs, nObs)

Arguments

theta	p-dimensional vector parameter.
Z	An \times Jp dimensional block-diagonal design matrix.
X	A n \times K dimensional (design) matrix. Each j-th block (j = 1,\dots,J) is a n_j \times p dimensional design matrix for the j-th clone.
y	n-dimensional vector of the time-adjacent cellular increments
V	A p \times K dimensional net-effect matrix.
VCNs	A n-dimensional vector including values of the vector copy number corresponding to the cell counts of y.
nObs	A K-dimensional vector including the frequencies of each clone k (k = 1,\dots,K).

Value

Conditional negative log-likelihood -l(y \vert u) of y given the random effects u.

RestoreNet documentation built on May 29, 2024, 4 a.m.