Given the parameters of a ZINB regression model, this function parses the
model and computes the vector of log(mu), logit(pi), and the dimensions of
the different components of the vector of parameters.
Usage
zinb.regression.parseModel(alpha, A.mu, A.pi)
Arguments
- alpha
the vectors of parameters c(a.mu, a.pi) concatenated
- A.mu
matrix of the model (default=empty)
- A.pi
matrix of the model (default=empty)
Value
A list with slots logMu, logitPi, dim.alpha (a
vector of length 2 with the dimension of each of the vectors a.mu,
a.pi in alpha), and start.alpha (a vector
of length 2 with the starting indices of the 2 vectors in alpha)
