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Fit method for bivph Class
# S4 method for bivph fit( x, y, weight = numeric(0), stepsEM = 1000, maxit = 100, reltol = 1e-08, every = 10 )
An object of class bivph.
A matrix with the data.
Vector of weights.
Number of EM steps to be performed.
Maximum number of iterations when optimizing g functions.
Relative tolerance when optimizing g functions.
Number of iterations between likelihood display updates.
obj <- bivph(dimensions = c(3, 3)) data <- sim(obj, n = 100) fit(obj, data, stepsEM = 100, every = 50)
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