mLf1: Marginal log-liklihood function of variable X1
In bvpa: Bivariate Pareto Distribution
mLf1 R Documentation
Marginal log-liklihood function of variable X1
Description
Return the marginal log-liklihood value of variable X_1.
Usage
mLf1(I, mu1, s1, a0, a1, a2)
Arguments
I
baivariate observations.
mu1
value of \mu_1.
s1
value of \sigma_1.
a0
value of \alpha_0.
a1
value of \alpha_1.
a2
value of \alpha_2.
Value
A scalar numeric, the marginal log-liklihood value of variable X_1.
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)
mLf1(dat, 0.1, 0.8, 2.0, 0.4, 0.5)
bvpa documentation built on Aug. 8, 2023, 5:11 p.m.
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| mLf1 | R Documentation |
Marginal log-liklihood function of variable X1
Description
Return the marginal log-liklihood value of variable X_1.
Usage
mLf1(I, mu1, s1, a0, a1, a2)
Arguments
I |
baivariate observations. |
mu1 |
value of |
s1 |
value of |
a0 |
value of |
a1 |
value of |
a2 |
value of |
Value
A scalar numeric, the marginal log-liklihood value of variable X_1.
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)
mLf1(dat, 0.1, 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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