Description Usage Arguments Value
Interface between Zelig and Basic GLM Fitting Functions
1 2 3 4 5 6 7 8 9 10 11 12 | zelig2exp(formula, ..., robust = FALSE, cluster = NULL, data)
zelig2gamma(formula, ..., data)
zelig2logit(formula, weights = NULL, robust = F, ..., data)
zelig2lognorm(formula, ..., robust = FALSE, cluster = NULL, data)
zelig2ls(formula, ..., data, weights = NULL)
zelig2negbinom(formula, weights = NULL, ..., data)
zelig2normal(formula, weights = NULL, ..., data)
zelig2poisson(formula, weights = NULL, ..., data)
zelig2probit(formula, weights = NULL, ..., data)
zelig2relogit(formula, ..., tau = NULL, bias.correct = NULL, case.control = NULL, data)
zelig2tobit(formula, ..., below = 0, above = Inf, robust = FALSE, cluster = NULL, data)
zelig2twosls(formula, ..., data)
|
formula |
a formula |
... |
additonal parameters |
weights |
a numeric vector |
robust |
a boolean specifying whether to use robust error estimates |
cluster |
a vector describing the clustering of the data |
data |
a data.frame |
tau |
... |
bias.correct |
... |
case.control |
... |
below |
a numeric or infinite specifying a lower boundary for censored responses |
above |
a numeric or infinite specifying an upper boundary for censored responses |
a list used by Zelig to call the model-fitting function
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