exact222: Exact maximum likelihood for three binary variables
In pzwiernik/LatentClass: Estimation of the latent class model for discrete data
Description
Usage
Arguments
Examples
Description
This function computes the exact maximum likelihood for the model with three observed binary variables and two latent classes.
Usage
1
exact222(counts, tol = 1e-08)
Arguments
counts
A (2,2,2) array with counts.
tol tolerance with respect to which model membership is checked (default tol=1e-8)
Examples
1
2
3
4
n <- c(12, 23, 34, 45, 56, 67, 78, 90)
res <- exact222(n)
res$min.deviance
res$fitted.values
pzwiernik/LatentClass documentation built on May 26, 2019, 11:35 a.m.
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Description Usage Arguments Examples
Description
This function computes the exact maximum likelihood for the model with three observed binary variables and two latent classes.
Usage
1 | exact222(counts, tol = 1e-08)
|
Arguments
counts |
A (2,2,2) array with counts. tol tolerance with respect to which model membership is checked (default tol=1e-8) |
Examples
1 2 3 4 | n <- c(12, 23, 34, 45, 56, 67, 78, 90)
res <- exact222(n)
res$min.deviance
res$fitted.values
|
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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