Coef is a generic function which computes model
coefficients from objects returned by modelling functions.
It is an auxiliary function to
enables extra capabilities for some specific models.
An object for which the computation of other types of model coefficients or quantities is meaningful.
Other arguments fed into the specific methods function of the model.
This function can often be useful for
with just an intercept term in the RHS of the formula, e.g.,
y ~ 1. Then often this function will apply the inverse
link functions to the parameters. See the example below.
For reduced-rank VGLMs, this function can return the A, C matrices, etc.
For quadratic and additive ordination models, this function can return ecological meaningful quantities such as tolerances, optimums, maximums.
The value returned depends specifically on the methods function invoked.
This function may not work for all VGAM family functions. You should check your results on some artificial data before applying it to models fitted to real data.
Thomas W. Yee
Yee, T. W. and Hastie, T. J. (2003). Reduced-rank vector generalized linear models. Statistical Modelling, 3, 15–41.
nn <- 1000 bdata <- data.frame(y = rbeta(nn, shape1 = 1, shape2 = 3)) # Original scale fit <- vglm(y ~ 1, betaR, data = bdata, trace = TRUE) # Intercept-only model coef(fit, matrix = TRUE) # Both on a log scale Coef(fit) # On the original scale
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