loglik: Log-likelihood function
In FREG: Functional Regression Models
loglik R Documentation
Log-likelihood function
Description
Log-likelihood function
Usage
loglik(x, y, beta)
Arguments
x
a design matrix which is a product of inner product of basis functions and basis coefficients of functional covariate X
y
a response variable of class factor
beta
initial values for beta regression coefficients and intercepts
Value
ll
a value of the log-likelihood function at the estimated optimum
FREG documentation built on May 9, 2022, 5:07 p.m.
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.
| loglik | R Documentation |
Log-likelihood function
Description
Log-likelihood function
Usage
loglik(x, y, beta)
Arguments
x |
a design matrix which is a product of inner product of basis functions and basis coefficients of functional covariate |
y |
a response variable of class |
beta |
initial values for beta regression coefficients and intercepts |
Value
ll |
a value of the log-likelihood function at the estimated optimum |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.