Models‎ > ‎

Likelihoods

Here is a list of all likelihood models which are implemented in the R inla package. For each model a detailed description and an example of usage are provided.



 Model


 Name

 
Description

 Negative Binomialnbinomial nbinomial.pdf
 Poisson poisson poisson.pdf
Binomialbinomial binomial.pdf
 CBinomialcbinomial
cbinomial.pdf
 Gaussian gaussiangaussian.pdf
 Skew Normal
sn
 sn.pdf
 Student-t TStudent-t.pdf
Gaussian model for stochastic volatility stochvol stochvolgaussian.pdf
 Student-t model for stochastic volatility stochvol.tstochvolt.pdf
NIG model for stochastic volatility stochvol.nigstochvolnig.pdf
 Zero inflated Poisson
zeroinflated.poisson.0
zeroinflated.poisson.1
zeroinflated.poisson.2
zeroinflated.pdf
Zero inflated Binomial
zeroinflated.binomial.0
zeroinflated.binomial.1
zeroinflated.pdf
 Zero inflated negative Binomial
zeroinflated.nbinomial.0 zeroinflated.nbinomial.1 zeroinflated.nbinomial.2

zeroinflated.pdf
 Zero inflated beta binomial (type 0/1) 
 zeroinflated.betabinomial.0
zeroinflated.betabinomial.1
 zeroinflated.pdf
 Zero inflated beta binomial (type 2)

 zeroinflated.betabinomial.2

 zeroinflatedbetabin.pdf
 Generalised extreme value distribution (GEV)

 gev gev.pdf
 Beta beta beta.pdf
 Gamma gammagamma.pdf
 Beta-Binomial     betabinomial betabinomial.pdf
 Logistic distribution
 logistic logistic.pdf
  Exponential (Survival models)

 exponential exponential.pdf
 Weibull (Survival model)

 weibull weibull.pdf
 LogLogistic (Survival model)
 loglogistic loglogistic.pdf
 LogNormal (Survival and regression)
 lognormal/lognormalsurv lognormal.pdf
 Cox model (Survival model)

 coxph coxph.pdf



Comments