Collapses counts along equal levels of binned covariates.
collapse(v,counts,mu=NULL,bins=NULL)Either matrix or Matrix of covariates (matches covars in dmr).
Either matrix or Matrix of multinomial counts, or a factor (matches counts in dmr).
Possible pre-specified fixed effects for dmr; otherwise they are calculated here.
The number of quantile bins into which we collapse v. bins=NULL does no collapsing.
A list containing collapsed and formatted v, counts, and nbin, along with mu = log(rowSums(counts)), the plug-in fixed effect estimates for dmr.
For each column of v, aggregates
the observations into bins defined by their average value. Both v and counts are then collapsed according to levels of the interaction across implied bin-factors, and the number
of observations in each bin is recorded as n. Look at the code of the dmr function to see collapse used in practice.
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