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Help document for cpa.count possibly mischaracterizes CVB #223

@kgoldfeld

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@kgoldfeld

This is not the hugest deal in the world, but it may confuse some users. The help file for cpa.count has this statement:

Note
This function implements the approach of Hayes and Bennet (1999). An estimate for the intracluster correlation coefficient (ICC) is used to calculate a design effect that accounts for variance inflation due to clustering.

The coefficient of variation CVB is the variance of the cluster rates divided by the mean of the cluster rates. (Italics/bold mine)

I think it should read:

The coefficient of variation CVB is the standard deviation of the cluster rates divided by the mean of the cluster rates.

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