R: Composition Estimation

sscomp {gss} | R Documentation

## Composition Estimation

### Description

Estimate composition using multinomial counts.

### Usage

    sscomp(x,wt=rep(1,length(x)),alpha=1.4)

    sscomp2(x,alpha=1.4)

### Arguments

`x` | Numerical vector or matrix of multinomial counts.
`wt` | Numerical vector of integration weights.
`alpha` | Parameter defining cross-validation score for smoothing parameter selection.

### Details

`sscomp` takes a vector `x` to estimate composition using density estimation on a nominal discrete domain; zero counts must be included in `x` to specify the domain. `wt` mimicking the shape of the unknown density could improve performance.

`sscomp2` takes a matrix `x`, collapses columns to estimate a density using `sscomp`, then using that as `wt` in further `sscomp` calls to estimate composition for each column.

### References

Gu, C. (2020), Composition estimation via shrinkage. manuscript.

[Package gss version 2.2-2 Index]