collapse: Data checking and binning

In TaddyLab/distrom: Distributed Multinomial Regression

Data checking and binning

Description

Collapses counts along equal levels of binned covariates.

Usage

collapse(v,counts,mu=NULL,bins=NULL)

Arguments

v	Either matrix or Matrix of covariates (matches covars in dmr).
counts	Either matrix or Matrix of multinomial counts, or a factor (matches counts in dmr).
mu	Possible pre-specified fixed effects for dmr; otherwise they are calculated here.
bins	The number of quantile bins into which we collapse v. bins=NULL does no collapsing.

Details

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.

Value

A list containing collapsed and formatted v, counts, and nbin, along with mu = log(rowSums(counts)), the plug-in fixed effect estimates for dmr.

Author(s)

Matt Taddy [e-mail]

See Also

we8there

TaddyLab/distrom documentation built on April 6, 2022, 3:47 p.m.