pseu.logL: Pseudo log-likelihood function of Block-Basu Bivariate Pareto...
In bvpa: Bivariate Pareto Distribution
pseu.logL R Documentation
Pseudo log-likelihood function of Block-Basu Bivariate Pareto (BBBVPA) distribution
Description
Return the pseudo log likelihood value.
Usage
pseu.logL(I, mu1, mu2, s1, s2, a0, a1, a2)
Arguments
I
baivariate observations.
mu1
value of \mu_1.
mu2
value of \mu_2.
s1
value of \sigma_1.
s2
value of \sigma_2.
a0
value of \alpha_0.
a1
value of \alpha_1.
a2
value of \alpha_2.
Value
A scalar numeric, pseudo log likelihood of the model.
Author(s)
Biplab Paul <paul.biplab497@gmail.com> and Arabin Kumar Dey <arabin@iitg.ac.in>
Examples
dat <- rbb.bvpa(500, 0.1, 0.1, 0.8, 0.8, 2.0, 0.4, 0.5)
pseu.logL(dat, 0.1, 0.1, 0.8, 0.8, 2.0, 0.4, 0.5)
bvpa documentation built on Aug. 8, 2023, 5:11 p.m.
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| pseu.logL | R Documentation |
Pseudo log-likelihood function of Block-Basu Bivariate Pareto (BBBVPA) distribution
Description
Return the pseudo log likelihood value.
Usage
pseu.logL(I, mu1, mu2, s1, s2, a0, a1, a2)
Arguments
I |
baivariate observations. |
mu1 |
value of |
mu2 |
value of |
s1 |
value of |
s2 |
value of |
a0 |
value of |
a1 |
value of |
a2 |
value of |
Value
A scalar numeric, pseudo log likelihood of the model.
Author(s)
Biplab Paul <paul.biplab497@gmail.com> and Arabin Kumar Dey <arabin@iitg.ac.in>
Examples
dat <- rbb.bvpa(500, 0.1, 0.1, 0.8, 0.8, 2.0, 0.4, 0.5)
pseu.logL(dat, 0.1, 0.1, 0.8, 0.8, 2.0, 0.4, 0.5)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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