Description Usage Arguments Details Value See Also Examples
Performs the Maximum Likelihood Estimation (MLE) of some models for binary data.
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formula |
an object of class 'formula' (or one that can be coerced to that class): a symbolic description of the model to be fitted. |
link |
the link function to be used. The options are: 'Aranda-Ordaz', 'Weibull', 'CWeibull', 'Stukel', 'Prentice'. |
data |
an optional data frame, list or environment (or object coercible by 'as.data.frame' to a data frame) containing the variables in the model. If not found in 'data', the variables are taken from 'environment(formula)'. |
subset |
an optional vector specifying a subset of observations to be used in the fitting process. |
start |
initial guess to model's parameters. Generally it is not necessary. |
tol |
tolerance error used in the estimation. |
iterlim |
maximum number of iteration to be performed. |
na.action |
a function which indicates what should happen when the data contain 'NA's. More details see 'glm' function. |
It is a function to facilitate de use of LaplacesDemon function. Transform a formula of binary regression model in data to be used with LaplacesDemon function, and suggest an command to run the LaplacesDemon.
'binreg' returns an object of class inheriting from 'glm'. For more details see 'glm' function.
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