lmer_modeling: LMER Modeling Function
In Ehyaei/IRISUtils: This package contains many functions that were used in the Hardy Lab Statistical Genetics projects.
View source: R/lmer_modeling.r
lmer_modeling R Documentation
LMER Modeling Function
Description
This function is designed to run 'lmer' models on data partition.
It takes a formula based on variables that are set in function
'wgs_adni_partitioner' (clinical and PCA variables).
To set WGS in the 'lmer' formula, use 'copy_number' term.
Usage
lmer_modeling(data_path, simulation_name, formula, save_model_path)
Arguments
data_path
the path of partition data
simulation_name
when save output models, is used in name of save model file.
formula
Character variable for 'lmer' formula.
save_model_path
The directory of saving model outout.
Ehyaei/IRISUtils documentation built on March 29, 2022, 9:46 a.m.
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View source: R/lmer_modeling.r
| lmer_modeling | R Documentation |
LMER Modeling Function
Description
This function is designed to run 'lmer' models on data partition. It takes a formula based on variables that are set in function 'wgs_adni_partitioner' (clinical and PCA variables). To set WGS in the 'lmer' formula, use 'copy_number' term.
Usage
lmer_modeling(data_path, simulation_name, formula, save_model_path)
Arguments
data_path |
the path of partition data |
simulation_name |
when save output models, is used in name of save model file. |
formula |
Character variable for 'lmer' formula. |
save_model_path |
The directory of saving model outout. |
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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