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R/make_Z_groups_out.r
In multimix: Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm
# # grout <- read.table('groups.out', header = FALSE) head(grout) n <- dim(grout)[1] nc <- dim(grout)[2]
# gr_asgd <- grout[, 1] log_dens <- grout[, nc] Z <- as.matrix(grout[, -c(1, nc)]) colnames(Z) <- NULL
# head(Z) plot(log_dens)
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multimix documentation built on Jan. 22, 2023, 1:13 a.m.
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# # grout <- read.table('groups.out', header = FALSE) head(grout) n <- dim(grout)[1] nc <- dim(grout)[2]
# gr_asgd <- grout[, 1] log_dens <- grout[, nc] Z <- as.matrix(grout[, -c(1, nc)]) colnames(Z) <- NULL
# head(Z) plot(log_dens)
Try the multimix package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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