mlr_gd: Implements linear regression with many predictors by gradient...
In mknauss58/Lab-6-Group: This is a sparse package for a Stat 431 assignment.
View source: R/linear_regression_alt.R
mlr_gd R Documentation
Implements linear regression with many predictors by gradient descent
Description
This function computes coefficients for multiple regression by gradient descent
All columns of the provided data frame are used as predictors, except the
one specified as a response.
Usage
mlr_gd(dat, response)
Arguments
dat
A data frame
response
The name of a response variable in the data frame (unquoted)
Details
No interaction terms are included.
Value
A data frame of coefficients
mknauss58/Lab-6-Group documentation built on May 22, 2022, 12:26 a.m.
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View source: R/linear_regression_alt.R
| mlr_gd | R Documentation |
Implements linear regression with many predictors by gradient descent
Description
This function computes coefficients for multiple regression by gradient descent All columns of the provided data frame are used as predictors, except the one specified as a response.
Usage
mlr_gd(dat, response)
Arguments
dat |
A data frame |
response |
The name of a response variable in the data frame (unquoted) |
Details
No interaction terms are included.
Value
A data frame of 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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