logLik.evmm

Computation of the log-likelihood of an extreme value mixture model (thus also <code>AIC</code> and <code>BIC</code> are available).

Fits extreme value mixture models, which are models for tails not requiring selection of a threshold, for continuous data. It includes functions for model comparison, estimation of quantity of interest in extreme value analysis and plotting. Reference: CN Behrens, HF Lopes, D Gamerman (2004) <doi:10.1191/1471082X04st075oa>. FF do Nascimento, D. Gamerman, HF Lopes <doi:10.1007/s11222-011-9270-z>.

Manuele Leonelli

extrememix

Bayesian Estimation of Extreme Value Mixture Models

logLik.evmm function

<dl><dt>object</dt>
<dd>an object of class <code>evmm</code>.</dd>
<dt>...</dt>
<dd>additional parameters for compatibility.</dd></dl>

Arguments

Log-likelihood Method — logLik.evmm

<dl>

<dt>object</dt>
<dd>an object of class <code>evmm</code>.</dd>


<dt>...</dt>
<dd>additional parameters for compatibility.</dd>

</dl>

logLik.evmm: Log-likelihood Method

Description

Usage

Value

Arguments

Examples