dot-fit_cat_stationary: Fit stationary categorical AD model
In antedep: Antedependence Models for Longitudinal Data
.fit_cat_stationary R Documentation
Fit stationary categorical AD model
Description
Internal function to fit a model where both marginal and transition
probabilities are constant over time.
Usage
.fit_cat_stationary(y, p, c, blocks = NULL, homogeneous = TRUE)
Arguments
y
Data matrix
p
Order
c
Number of categories
blocks
Block vector (or NULL)
homogeneous
Whether to pool across blocks
Value
A cat_fit-like object with stationary constraints
antedep documentation built on April 25, 2026, 1:06 a.m.
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| .fit_cat_stationary | R Documentation |
Fit stationary categorical AD model
Description
Internal function to fit a model where both marginal and transition probabilities are constant over time.
Usage
.fit_cat_stationary(y, p, c, blocks = NULL, homogeneous = TRUE)
Arguments
y |
Data matrix |
p |
Order |
c |
Number of categories |
blocks |
Block vector (or NULL) |
homogeneous |
Whether to pool across blocks |
Value
A cat_fit-like object with stationary constraints
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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