sim_data: A simulated dataset for LUCID
In LUCIDus: LUCID with Multiple Omics Data
sim_data R Documentation
A simulated dataset for LUCID
Description
This is an example dataset to illustrate LUCID model. It is simulated
by assuming there are 2 latent clusters in the data. We assume the exposures
are associated with latent cluster which ultimately affects the PFAS concentration
and liver injury in children. The latent clusters are also characterized by
differential levels of metabolites.
Usage
sim_data
Format
A list with 5 matrices corresponding to exposures (G), omics data (Z),
a continuous outcome, a binary outcome and 2 covariates (can be used either
as CoX or CoY). Each matrice contains 2000 observations.
- G
10 exposures
- Z
10 metabolites
- Y_normal
Outcome, PFAS concentration in children
- Y_bninary
Bianry outcome, liver injury status
- Covariates
2 continous covariates, can be treated as either CoX or
CoY
- X
Latent clusters
LUCIDus documentation built on Nov. 2, 2023, 5:21 p.m.
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.
| sim_data | R Documentation |
A simulated dataset for LUCID
Description
This is an example dataset to illustrate LUCID model. It is simulated by assuming there are 2 latent clusters in the data. We assume the exposures are associated with latent cluster which ultimately affects the PFAS concentration and liver injury in children. The latent clusters are also characterized by differential levels of metabolites.
Usage
sim_data
Format
A list with 5 matrices corresponding to exposures (G), omics data (Z), a continuous outcome, a binary outcome and 2 covariates (can be used either as CoX or CoY). Each matrice contains 2000 observations.
- G
10 exposures
- Z
10 metabolites
- Y_normal
Outcome, PFAS concentration in children
- Y_bninary
Bianry outcome, liver injury status
- Covariates
2 continous covariates, can be treated as either CoX or CoY
- X
Latent clusters
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.