internal: Documentation
In rauschenberger/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.
rauschenberger/semisup documentation built on May 11, 2020, 4 p.m.
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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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