Estimate composition using multinomial counts.
sscomp(x,wt=rep(1,length(x)),alpha=1.4)sscomp2(x,alpha=1.4)
sscomp returns a column of estimated probabilities.
sscomp2 returns a matrix of estimated probabilities, matching
the input x in dimensions.
Numerical vector or matrix of multinomial counts.
Numerical vector of integration weights.
Parameter defining cross-validation score for smoothing parameter selection.
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.
Gu, C. (2020), Composition estimation via shrinkage. manuscript.