R Packages that start with:
A . B . C . D . E . F . G . H . I . J . K . L . M . N . O . P . Q . R . S . T . U . V . W . X . Y . Z .
Functions
- coef.ebnm()
- confint.ebnm()
- ebnm()
- ebnm_add_sampler()
- ebnm_ash()
- ebnm_deconvolver()
- ebnm_flat()
- ebnm_generalized_binary()
- ebnm_group()
- ebnm_horseshoe()
- ebnm_normal()
- ebnm_normal_scale_mixture()
- ebnm_npmle()
- ebnm_point_exponential()
- ebnm_point_laplace()
- ebnm_point_mass()
- ebnm_point_normal()
- ebnm_scale_normalmix()
- ebnm_scale_npmle()
- ebnm_scale_unimix()
- ebnm_unimodal()
- ebnm_unimodal_nonnegative()
- ebnm_unimodal_nonpositive()
- ebnm_unimodal_symmetric()
- fitted.ebnm()
- gammamix()
- horseshoe()
- laplacemix()
- logLik.ebnm()
- nobs.ebnm()
- plot.ebnm()
- predict.ebnm()
- print.ebnm()
- print.summary.ebnm()
- quantile.ebnm()
- residuals.ebnm()
- simulate.ebnm()
- summary.ebnm()
- vcov.ebnm()
- wOBA()
R Codes
- add_sampler.R
- data.R
- deconvolver.R
- ebnm.R
- ebnm_fns.R
- ebnm_group.R
- ebnm_methods.R
- flat_prior.R
- generalized_binary.R
- grid_selection.R
- horseshoe.R
- infer_prior_family.R
- internal_data_fns.R
- loglik_point_laplace.R
- loglik_point_normal.R
- mle_pn_special_cases.R
- opt_control_defaults.R
- output.R
- point_exponential.R
- point_laplace.R
- point_normal.R
- rebayes.R
- workhorse_ash.R
- workhorse_normal_mix.R
- workhorse_parametric.R
Selected R package: ebnm
Click on the specific functions, references or examples using the links on the left
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