fitter_glmnet: Wrapper to glmnet. Defined separetely to avoid passing too...
In ebecht/infinityFlow: Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
View source: R/04_regression_all.R
fitter_glmnet R Documentation
Wrapper to glmnet. Defined separetely to avoid passing too many objects in parLapplyLB
Description
Wrapper to glmnet. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
fitter_glmnet(x = NULL, params = NULL)
Arguments
x
passed from fit_regressions
params
passed from fit_regressions
Value
A list with two elements: predictions and a fitted model
Examples
fitter_glmnet()
ebecht/infinityFlow documentation built on Jan. 31, 2024, 11:31 p.m.
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View source: R/04_regression_all.R
| fitter_glmnet | R Documentation |
Wrapper to glmnet. Defined separetely to avoid passing too many objects in parLapplyLB
Description
Wrapper to glmnet. Defined separetely to avoid passing too many objects in parLapplyLB
Usage
fitter_glmnet(x = NULL, params = NULL)
Arguments
x |
passed from fit_regressions |
params |
passed from fit_regressions |
Value
A list with two elements: predictions and a fitted model
Examples
fitter_glmnet()
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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