rsbWt: Rao-Scott weighting.

In ABS-dev/PF: Prevented fraction

Rao-Scott weighting.

Description

Rao-Scott weighting of clustered binomial observations.

Usage

rsbWt(fit = NULL, subset.factor = NULL, fit.only = TRUE)

Arguments

fit	A glm object.
subset.factor	Factor for estimating the weights by subset.
fit.only	Return only the new fit? If FALSE, also returns the weights and phi estimates.

Details

Estimates the cluster design effect {d}_{i} as the variance inflation due to clustering by the method of Rao and Scott. Observations are then weighted by the inverse of the {d}_{i}.

Value

A list with the following elements.

fit	the new model fit, updated by the estimated weights
weights	vector of weights
d	vector of {d}_{i} estimates

Author(s)

PF-package

References

Rao JNK, Scott AJ, 1992. A simple method for the analysis of clustered binary data. Biometrics 48:577-585.

See Also

RRor, rsb.

Examples

birdm.fit <- glm(cbind(y,n-y)~tx-1,binomial,birdm)
RRor(rsbWt(birdm.fit))
#
# 95% t intervals on 4 df
#
# PF
#     PF     LL     UL
#  0.479 -1.061  0.868
#
#       mu.hat    LL     UL
# txcon  0.768 0.968 0.2659
# txvac  0.400 0.848 0.0737
#

ABS-dev/PF documentation built on April 26, 2024, 3:29 p.m.