oasis_training: OASIS Training
In neuroconductor-devel/oasis: Multiple Sclerosis Lesion Segmentation using Magnetic Resonance Imaging (MRI)
Description
Usage
Arguments
Value
Examples
View source: R/oasis_training.R
Description
This function trains the OASIS model from a data.frame
produced by an element from the output of the
function oasis_train_dataframe
Usage
1
2
3
oasis_training(..., formula = GoldStandard ~ FLAIR_10 * FLAIR + FLAIR_20 *
FLAIR + PD_10 * PD + PD_20 * PD + T2_10 * T2 + T2_20 * T2 + T1_10 * T1 + T1_20
* T1, remove_preproc = FALSE)
Arguments
...
data.frame(s) produced by the
oasis_train_dataframe function
formula
formula to be fit by glm model
remove_preproc
a logical stating if oasis_dataframe needs to be
extracted from the list of objects. Will call list$oasis_dataframe
Value
Returns a glm object containing the trained OASIS
coefficients to be used by the function oasis_predict.
Examples
1
2
3
df = oasis::example_oasis_df
df$GoldStandard = df$GOLD_Lesions
oasis_training(df)
neuroconductor-devel/oasis documentation built on April 1, 2021, 2:04 p.m.
R Package Documentation
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Description Usage Arguments Value Examples
View source: R/oasis_training.R
Description
This function trains the OASIS model from a data.frame
produced by an element from the output of the
function oasis_train_dataframe
Usage
1 2 3 | oasis_training(..., formula = GoldStandard ~ FLAIR_10 * FLAIR + FLAIR_20 *
FLAIR + PD_10 * PD + PD_20 * PD + T2_10 * T2 + T2_20 * T2 + T1_10 * T1 + T1_20
* T1, remove_preproc = FALSE)
|
Arguments
... |
|
formula |
formula to be fit by glm model |
remove_preproc |
a logical stating if |
Value
Returns a glm object containing the trained OASIS
coefficients to be used by the function oasis_predict.
Examples
1 2 3 | df = oasis::example_oasis_df
df$GoldStandard = df$GOLD_Lesions
oasis_training(df)
|
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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