FitRegression | R Documentation |
FitRegression
Fits a regression model.
FitRegression(
.formula,
.estimation.data,
.weights,
type,
robust.se,
outlier.prop.to.remove,
seed = 12321,
dummy.processed.data = NULL,
...
)
.formula |
An object of class |
.estimation.data |
A |
.weights |
An optional vector of sampling weights, or, the name or, the
name of a variable in |
type |
See Regression. |
robust.se |
Computes standard errors that are robust to violations of the assumption of constant variance, using the HC1 (degrees of freedom) modification of White's (1980) estimator (Long and Ervin, 2000). This parameter is ignored if weights are applied (as weights already employ a sandwich estimator). |
outlier.prop.to.remove |
A single numeric value that determines the percentage of data points to remove from the analysis. The data points removed correspond to those in the proportion with the largest residuals. A value of 0 or NULL would denote no points are removed. A value x, with 0 < x < 0.5 (not inclusive) would denote that a percentage between none and 50% of the data points are removed. |
seed |
A integer seed to generate the surrogate residuals. |
dummy.processed.data |
A list containing the output from |
... |
Arguments to the wrapped functions. |
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