rndEffModelStats: Base and random-effects model statistics

In RestoreNet: Random-Effects Stochastic Reaction Networks

Base and random-effects model statistics

Description

Main statistics from the fitted base and random-effects models

Usage

rndEffModelStats(
  theta_null,
  theta_rndEff,
  V,
  M,
  M_bdiag,
  y,
  VCNs,
  nObs,
  verbose = TRUE
)

Arguments

theta_null	the estimated p-dimensional vector parameter for the base (null) model.
theta_rndEff	the estimated p-dimensional vector parameter for the random-effects model.
M	A n \times K dimensional (design) matrix.
M_bdiag	An \times Jp dimensional block-diagonal 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
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).
verbose	(defaults to TRUE) Logical value. If TRUE, then information messages on the progress of the algorithm are printed to the console.

Value

A vector of statistics associated to the fitted base and random-effects models:

nPar	number of parameters of the base(null) model
cll	value of the conditional log-likelihood, in this case just the log-likelihood
mll	value of the marginal log-likelihood, in this case just the log-likelihood
cAIC	conditional Akaike Information Criterion (cAIC), in this case simply the AIC.
mAIC	marginal Akaike Information Criterion (mAIC), in this case simply the AIC.
Chi2	value of the \chi^2 statistic (y - M\theta)'S^{-1}(y - M\theta).
p-value	p-value of the \chi^2 test for the null hypothesis that Chi2 follows a \chi^2 distribution with n - nPar degrees of freedom.
KLdiv	Kullback-Leibler divergence of the random-effects model from the null model.
KLdiv/N	Rescaled Kullback-Leibler divergence of the random-effects model from the null model.
BhattDist_nullCond	Bhattacharyya distance between the random-effects model and the null model.
BhattDist_nullCond/N	Rescaled Bhattacharyya distance between the random-effects model and the null model.

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