robust: glmRob.cubif – R documentation

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glmRob.cubif

Robust GLM CUBIF Fitter

Description

Robustly fit a generalized linear model using a conditionally unbiased bounded influence (“cubif”) estimator. This function is called by the high-level function glmRob when method = "cubif" (the default) is specified.

Usage

glmRob.cubif(x, y, intercept = FALSE, offset = 0,
        family = binomial(), null.dev = TRUE, control)

Arguments

`x`	a numeric model matrix.
`y`	either a numeric vector containing the response or, in the case of the binomial family, a two-column numeric matrix containing the number of successes and failures.
`intercept`	a logical value. If `TRUE` a column of ones is added to the design matrix.
`offset`	a numeric vector containing the offset.
`family`	a family object.
`null.dev`	a logical value. If `TRUE` the null deviance is computed.
`control`	a list of control parameters. See `glmRob.cubif.control`.

Value

See glmRob.object.

References

Kunsch, L., Stefanski L. and Carroll, R. (1989). Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models. JASA 84, 460–466.

Marazzi, A. (1993). Algorithms, routines and S functions for robust statistics. Wadsworth & Brooks/Cole, Pacific Grove, CA.

glmRob.cubif

Description

Usage

Arguments

Value

References

See Also

robust

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