get_ipcs: Calcuate Individual Parameter Contributions
In manuelarnold/ipcr: Individual Parameter Contribution Regression
Description
Usage
Arguments
Details
Value
References
See Also
Description
This functions calculates the individual parameter contributions (IPCs) of
a fitted model.
Usage
1
get_ipcs(x)
Arguments
x
a fitted model object.
Details
get_ipcs is a convenience function for obtaining IPCs. The more
powerful ipcr function also provides IPCs and can be used to predict
differences in model parameters by regressing the IPCs on covariates.
Value
A data.frame containing the of a fitted model. The dimensions of this
data.frame are n * k, where n denotes the number of observations and
k the number of parameters. The columns should be named as in
coef.
References
Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2019). Identifying
heterogeneity in dynamic panel models with individual parameter contribution
regression. Structural Equation Modeling, 27, 613-628. doi:
10.1080/10705511.2019.1667240
See Also
manuelarnold/ipcr documentation built on Nov. 30, 2021, 3:30 p.m.
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Description Usage Arguments Details Value References See Also
Description
This functions calculates the individual parameter contributions (IPCs) of a fitted model.
Usage
1 | get_ipcs(x)
|
Arguments
x |
a fitted model object. |
Details
get_ipcs is a convenience function for obtaining IPCs. The more
powerful ipcr function also provides IPCs and can be used to predict
differences in model parameters by regressing the IPCs on covariates.
Value
A data.frame containing the of a fitted model. The dimensions of this
data.frame are n * k, where n denotes the number of observations and
k the number of parameters. The columns should be named as in
coef.
References
Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2019). Identifying heterogeneity in dynamic panel models with individual parameter contribution regression. Structural Equation Modeling, 27, 613-628. doi: 10.1080/10705511.2019.1667240
See Also
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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