likl: likl - Likelihood computation for given network,...
In ddepn: Dynamic Deterministic Effects Propagation Networks: Infer signalling networks for timecourse RPPA data.

Description Usage Arguments Value Author(s) References See Also

Given a data matrix dat and a matrix of state vectors gammax get the parameter matrix theta and compute the Likelihood of the data p(D|gammax,theta) as sum of all normal densities of each data point with the corresponding parameter chosen from theta.

1	likl(dat,gammax,scale_lik=FALSE)

`dat`	Data matrix as described in ddepn.
`gammax`	Matrix containing state vectors in the columns. Must have same dimensions as `dat`.
`scale_lik`	Boolean.Scale likelihood according to number of data points from which the overall likelihood is calculated.

A list containing the likelihood matrix L and the parameter matrix theta.

`L`	Matrix with dimensions dim(`dat`) containing the normal densities for each data point given the state from gamma and the corresponding parameter from theta.
`thetax`	Parameter matrix containing the means and standard deviations for the nodes. A node corresponds to a row in the data matrix. Each row contains a number of time points, which are separated in active and passive states. For each state, one mean/sd parameter pair is found in `theta`.