marg.likelihood: Calculating the marginal likelihood

In penRvine: Flexible R-Vines Estimation Using Bivariate Penalized Splines

Description

Calculating the marginal likelihood of paircopula().

Usage

marg.likelihood(penden.env,pen.likelihood,temp=FALSE)

Arguments

penden.env	Containing all information, environment of paircopula().
pen.likelihood	Actual penalized likelihood for calculation, temporary or not.
temp	Default=FALSE, indicating if temporary values throughout iteration are calculated.

Value

marg.log.like

Marginal log-likelihood, saved in the environment

Author(s)

Christian Schellhase <[e-mail]>

References

Flexible Pair-Copula Estimation in D-vines using Bivariate Penalized Splines, Kauermann, G. and Schellhase, C. (2014), Statistics and Computing 24(6): 1081-1100).

Nonparametric estimation of simplified vines: comparison of methods, Nagler N., Schellhase, C. and Czado, C. (2017) Dependence Modeling.

penRvine documentation built on May 30, 2017, 2:20 a.m.