lik_reg: Compute the Likelihood of the PN distribution (regression)
In bpnreg: Bayesian Projected Normal Regression Models for Circular Data
Description
Compute the Likelihood of the PN distribution (regression)
Usage
1
lik_reg(X1, X2, theta, beta1, beta2, n)
Arguments
X1
the model matrix of the first component
X2
the model matrix of the second component
theta
a circular outcome value
beta1
estimated linear coefficients of the first component
beta2
estimated linear coefficients of the second component
n
sample size
bpnreg documentation built on Aug. 6, 2021, 9:07 a.m.
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Description
Compute the Likelihood of the PN distribution (regression)
Usage
1 | lik_reg(X1, X2, theta, beta1, beta2, n)
|
Arguments
X1 |
the model matrix of the first component |
X2 |
the model matrix of the second component |
theta |
a circular outcome value |
beta1 |
estimated linear coefficients of the first component |
beta2 |
estimated linear coefficients of the second component |
n |
sample size |
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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