relvm_single_noad: Estimation Of The Random Effect Latent Variable Model...
In huangrh/relvm: Random Effect Laten Variable Model For Hospital Compare
View source: R/estimate_nonadaptive.R
relvm_single_noad R Documentation
Estimation Of The Random Effect Latent Variable Model Parameters
Description
Estimate the random effect latent variable model
Usage
relvm_single_noad(group, df, qpoints, init, predict, adaptive)
Arguments
qpoints
The numbe of the quadrature points.
init
Initial values for mu, fl, and err term in a list. fl is the
factor loading. They will be initialized generally if it is null. The
default is a list with for all mu and one for others.
predict
The default is TRUE.
mstbl_std
The standized measure score table.
wts_tbl
The measure score weight table.
Value
An object of S3 class "relvm" with estimated parametes.
huangrh/relvm documentation built on Nov. 1, 2024, 9:01 p.m.
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View source: R/estimate_nonadaptive.R
| relvm_single_noad | R Documentation |
Estimation Of The Random Effect Latent Variable Model Parameters
Description
Estimate the random effect latent variable model
Usage
relvm_single_noad(group, df, qpoints, init, predict, adaptive)
Arguments
qpoints |
The numbe of the quadrature points. |
init |
Initial values for mu, fl, and err term in a list. fl is the factor loading. They will be initialized generally if it is null. The default is a list with for all mu and one for others. |
predict |
The default is TRUE. |
mstbl_std |
The standized measure score table. |
wts_tbl |
The measure score weight table. |
Value
An object of S3 class "relvm" with estimated parametes.
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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