fit_bayesian_ridge: Fit a bayesian ridge regression model as implemented in...
In quadbiolab/Pando: Inferring regulomes from multi-modal single-cell genomics data
fit_bayesian_ridge R Documentation
Fit a bayesian ridge regression model as implemented in scikit-learn (python)
Description
Fit a bayesian ridge regression model as implemented in scikit-learn (python)
Usage
fit_bayesian_ridge(formula, data, ...)
Arguments
formula
An object of class formula with a symbolic description
of the model to be fitted.
data
A data.frame containing the variables in the model.
...
Other parameters for the model fitting function.
Value
A list with two data frames: gof contains goodness of fit measures of the fit and
coefs contains the fitted coefficients.
quadbiolab/Pando documentation built on April 22, 2024, 8:14 a.m.
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| fit_bayesian_ridge | R Documentation |
Fit a bayesian ridge regression model as implemented in scikit-learn (python)
Description
Fit a bayesian ridge regression model as implemented in scikit-learn (python)
Usage
fit_bayesian_ridge(formula, data, ...)
Arguments
formula |
An object of class |
data |
A |
... |
Other parameters for the model fitting function. |
Value
A list with two data frames: gof contains goodness of fit measures of the fit and
coefs contains the fitted coefficients.
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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