gensampmixt: Resample form mixture with warying concentrations.
In RostyslavMaiboroda/mixvconc:

Description Usage Arguments Details Value See Also Examples

gensampmixt generates a sample from the mixture with mixing probabilities p and distributions of components given by the weighted sample xs.

1	gensampmixt(p, xs)

`p`	matrix (or data frame) of mixing probabilities with rows corresponding to subjects and columns coresponding to the mixture components.
`xs`	object of class `wtsamp` with the weighted sample. Defines the mixture components' distribution.

gensampmixt uses randwtgen for sampling from components with the default value of the option delta0.

a vector with the resampled sample.

Maiboroda R., Sugakova O. "Statistics of mixtures with varying concentrations with application to DNA microarray data analysis". Nonparametric statistics (2012) v.24:1, p. 201 - 215.

Maiboroda R. and Kubaichuk O. Asymptotic normality of improved weighted empirical distribution functions. Theor. Probability and Math. Statist. 69 (2004), 95-102

set.seed(3)
p <- genunifp(10,2) # create mixing probabilities
a <- lsweight(p) # calculate minimax weights
# create a weighted sample:
xs <- wtsamp(genormixt(p,c(0,1),c(1,1)),indiv=a)
xs<-cormid(xs) # correct the weights
x_resampled<-gensampmixt(p,xs) # resampled data