internal: Documentation
In semisup: Semi-Supervised Mixture Model
Description
This page lists and describes some internal functions
of the R package semisup.
These functions should not be used for analysing data.
fit.wrap multiple restarts
fit.norm Gaussian mixture model
fit.nbinom negative binomial mixture model
fit.zinb zero-inflated negative binomial mixture model
estim.nbinom dispersion estimation
estim.zinb dispersion and zero-inflation estimation
resam.lrts resampling (bootstrap, permutation)
See Also
Use mixtura for model fitting,
and scrutor for hypothesis testing.
semisup documentation built on Nov. 8, 2020, 6:32 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This page lists and describes some internal functions
of the R package semisup.
These functions should not be used for analysing data.
fit.wrap multiple restarts
fit.norm Gaussian mixture model
fit.nbinom negative binomial mixture model
fit.zinb zero-inflated negative binomial mixture model
estim.nbinom dispersion estimation
estim.zinb dispersion and zero-inflation estimation
resam.lrts resampling (bootstrap, permutation)
See Also
Use mixtura for model fitting,
and scrutor for hypothesis testing.
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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