simple_fit: Fit a Linear Model
In ryan-heslin/RegLesson: Linear Regression from Scratch
simple_fit R Documentation
Fit a Linear Model
Description
Fit a Linear Model
Usage
simple_fit(X, betas)
Arguments
X
An n \times m design matrix, optionally with an intercept column present.
betas
Vector of coefficients for the model.
Details
This function finds the least-squares estimates given a design matrix and bet coefficients.
Value
Vector of least-squares estimates.
ryan-heslin/RegLesson documentation built on Aug. 5, 2022, 9:03 p.m.
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| simple_fit | R Documentation |
Fit a Linear Model
Description
Fit a Linear Model
Usage
simple_fit(X, betas)
Arguments
X |
An n \times m design matrix, optionally with an intercept column present. |
betas |
Vector of coefficients for the model. |
Details
This function finds the least-squares estimates given a design matrix and bet coefficients.
Value
Vector of least-squares estimates.
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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