santosneto/mixbsreg
Mixture-based regression model with application to data with high censoring

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santosneto/mixbsreg: Mixture-based regression model with application to data with high censoring
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Mixture-based regression model with application to data with high censoring

constLogitpartFitting Linear Models - Constat
CoxSnell_BSmixtureResiduals - mixture Bernoulli/Birnbaum-Saunders
descriptiveSummaryDescriptive Measures
envelopetEnvelope - tobit t
haitiAntibody Level
initialValuesBSInitial Values for Birnbaum-Saunders model
initialValuesLSInitial Values
LbsFitting Linear Models
Lbs0Fitting Linear Models
LbsIcFitting Linear Models - CI
LbsProfileFitting Linear Models - Profile
sim_mix_bsMonte Carlo simulations
tobitbsFitting Linear Models - tobit bs
tobitLSVectorStatusStatus Vector
tobitLSVectorYResponse tobit
tobitResidualsBSResiduals - tobit bs
tobitResidualsEnvelopeBSEnvelope - tobit Birnbaum-Saunders
tobitResidualsEnvelopeBSBernoulliEnvelope - mixture Bernoulli/Birnbaum-Saunders
tobitResidualsLNOEnvelope - tobit log normal
tobitResidualsNOEnvelope - tobit normal
santosneto/mixbsreg documentation built on March 31, 2020, 8:59 p.m.

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