gplite (version 0.13.0)

lik: Initialize likelihood

Description

Functions for initializing the likelihood (observation model) which can then be passed to gp_init.

Usage

lik_gaussian(sigma = 0.5, prior_sigma = prior_logunif())
lik_bernoulli(link = "logit")
lik_binomial(link = "logit")
lik_betabinom(link = "logit", phi = 1, prior_phi = prior_logunif())
lik_poisson(link = "log")

Value

The likelihood object.

Arguments

sigma

Initial value for the noise standard deviation.

prior_sigma

Prior for hyperparameter sigma. See priors.

link

Link function if the likelihood supports non-identity links. See Details for information about possible links for each likelihood.

phi

The over dispersion parameter for beta binomial likelihood.

prior_phi

Prior for hyperparameter phi. See priors.

Details

The supported likelihoods are:

lik_gaussian

Gaussian likelihood. Has no links (uses identity link).

lik_bernoulli

Bernoulli likelihood. Possible links: 'logit' or 'probit'.

lik_binomial

Binomial likelihood. Possible links: 'logit' or 'probit'.

lik_betabinom

Beta binomial likelihood. Possible links: 'logit' or 'probit'.

lik_poisson

Poisson likelihood. Possible links: 'log'.

Examples

# Basic usage
cf <- cf_sexp()
lik <- lik_binomial()
gp <- gp_init(cf, lik)