information2-internal: Compute the Expected Information Matrix From the Conditional...
In bozenne/lavaSearch2: Tools for Model Specification in the Latent Variable Framework
information2-internal R Documentation
Compute the Expected Information Matrix From the Conditional Moments
Description
Compute the expected information matrix from the conditional moments.
Usage
.information2(
dmu,
dOmega,
OmegaM1,
missing.pattern,
unique.pattern,
name.pattern,
grid.mean,
grid.var,
name.param,
leverage,
weights = NULL,
n.cluster
)
Details
calc_information will perform the computation individually when the
argument index.Omega is not null.
bozenne/lavaSearch2 documentation built on July 21, 2024, 8:37 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| information2-internal | R Documentation |
Compute the Expected Information Matrix From the Conditional Moments
Description
Compute the expected information matrix from the conditional moments.
Usage
.information2(
dmu,
dOmega,
OmegaM1,
missing.pattern,
unique.pattern,
name.pattern,
grid.mean,
grid.var,
name.param,
leverage,
weights = NULL,
n.cluster
)
Details
calc_information will perform the computation individually when the
argument index.Omega is not null.
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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