ll_ordered: Log-likelihood in the ordered probit model
In RprobitB: Bayesian Probit Choice Modeling
ll_ordered R Documentation
Log-likelihood in the ordered probit model
Description
This function computes the log-likelihood value given the threshold
increments d.
Usage
ll_ordered(d, y, mu, Tvec)
Arguments
d
A numeric vector of threshold increments.
y
A matrix of the choices.
mu
A matrix of the systematic utilities.
Tvec
The element Tvec in sufficient_statistics.
Value
The log-likelihood value.
Examples
ll_ordered(c(0,0,0), matrix(1), matrix(1), 1)
RprobitB documentation built on May 29, 2024, 7:59 a.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.
| ll_ordered | R Documentation |
Log-likelihood in the ordered probit model
Description
This function computes the log-likelihood value given the threshold
increments d.
Usage
ll_ordered(d, y, mu, Tvec)
Arguments
d |
A numeric vector of threshold increments. |
y |
A matrix of the choices. |
mu |
A matrix of the systematic utilities. |
Tvec |
The element |
Value
The log-likelihood value.
Examples
ll_ordered(c(0,0,0), matrix(1), matrix(1), 1)
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.