CInLPN-package: A package for Causal Inference in a Latent Processes Network
In bachirtadde/CInLPN: Causal Inference for Latent Processes Network
CInLPN-package R Documentation
A package for Causal Inference in a Latent Processes Network
Description
This package Contains functions to fit a dynamic model for multiple latent processes.
The methodology is based on the combinaison
of a linear mixed model for the latent processes trajectories and a system of
differences equations for assessing their temporal influences.
The estimation is done in the maximum likelihood framework.
Details
Package: CInLPN
Type: Package
Version: 0.2.1
Date: 2020-02-27
License: GPL (>= 2.0)
Author(s)
Bachirou Tadd\'e, C\'ecile Proust-Lima
Tadd\'e O. B., et al. (2018). Dynamic modelling of Multivariate Dimensions and
Their Temporal Relationships using Latent Processes: Application to Alzheimer's
Disease. Biometrics. 24 oct 2019
bachirtadde/CInLPN documentation built on June 30, 2023, 11:47 a.m.
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| CInLPN-package | R Documentation |
A package for Causal Inference in a Latent Processes Network
Description
This package Contains functions to fit a dynamic model for multiple latent processes. The methodology is based on the combinaison of a linear mixed model for the latent processes trajectories and a system of differences equations for assessing their temporal influences. The estimation is done in the maximum likelihood framework.
Details
| Package: | CInLPN |
| Type: | Package |
| Version: | 0.2.1 |
| Date: | 2020-02-27 |
| License: | GPL (>= 2.0) |
Author(s)
Bachirou Tadd\'e, C\'ecile Proust-Lima Tadd\'e O. B., et al. (2018). Dynamic modelling of Multivariate Dimensions and Their Temporal Relationships using Latent Processes: Application to Alzheimer's Disease. Biometrics. 24 oct 2019
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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