dot-logL_from_counts_cat: Compute log-likelihood from cell counts (faster for large...
In antedep: Antedependence Models for Longitudinal Data
.logL_from_counts_cat R Documentation
Compute log-likelihood from cell counts (faster for large datasets)
Description
Instead of looping over subjects, this version uses aggregated cell counts.
Equivalent to logL_cat but more efficient.
Usage
.logL_from_counts_cat(y, order, marginal, transition, n_categories)
Arguments
y
Data matrix
order
AD order p
marginal
Marginal parameters
transition
Transition parameters
n_categories
Number of categories
Value
Scalar log-likelihood
antedep documentation built on April 25, 2026, 1:06 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.
| .logL_from_counts_cat | R Documentation |
Compute log-likelihood from cell counts (faster for large datasets)
Description
Instead of looping over subjects, this version uses aggregated cell counts. Equivalent to logL_cat but more efficient.
Usage
.logL_from_counts_cat(y, order, marginal, transition, n_categories)
Arguments
y |
Data matrix |
order |
AD order p |
marginal |
Marginal parameters |
transition |
Transition parameters |
n_categories |
Number of categories |
Value
Scalar log-likelihood
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.