fml: Maximum-likelihood fitting function.
In stremo: Functions to help the process of learning structural equation modelling
Description
Usage
Arguments
See Also
Examples
Description
ML fitting function to pass to an optimiser.
Usage
1
Arguments
sigma
Population covariance matrix.
sigma.hat
Model-implied covariance matrix.
See Also
Examples
1
2
3
4
5
6
7
## Not run:
data(albert)
cat(albert.model)
fit <- fit.nlminb(albert.model, albert.litho.cov, 107)
fml(albert.litho.cov, fit$sigma.hat)
## End(Not run)
stremo documentation built on Jan. 15, 2017, 7:33 p.m.
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Description Usage Arguments See Also Examples
Description
ML fitting function to pass to an optimiser.
Usage
1 |
Arguments
sigma |
Population covariance matrix. |
sigma.hat |
Model-implied covariance matrix. |
See Also
Examples
1 2 3 4 5 6 7 | ## Not run:
data(albert)
cat(albert.model)
fit <- fit.nlminb(albert.model, albert.litho.cov, 107)
fml(albert.litho.cov, fit$sigma.hat)
## End(Not run)
|
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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