lin_model: Linear regression model
In EvanWie/linearRegress: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
View source: R/linear_regression.R
Description
Performs linear regression using Ordinary Least Squares (or Weighted Least Squares when weights are specified)
Usage
1
Arguments
formula
Model formula using specified columns of DataFrame 'data'. Can include interactions and select no intercept
with -1
data
Dataframe from which model variables are pulled.
weights
Vector of weights to be used in Weighted Least Squares regression estimates. Default = NULL.
Value
List of coefficients, estimate standard errors, test statistics, and p-values
EvanWie/linearRegress documentation built on Nov. 20, 2019, 12:02 a.m.
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Description Usage Arguments Value
View source: R/linear_regression.R
Description
Performs linear regression using Ordinary Least Squares (or Weighted Least Squares when weights are specified)
Usage
1 |
Arguments
formula |
Model formula using specified columns of DataFrame 'data'. Can include interactions and select no intercept with -1 |
data |
Dataframe from which model variables are pulled. |
weights |
Vector of weights to be used in Weighted Least Squares regression estimates. Default = NULL. |
Value
List of coefficients, estimate standard errors, test statistics, and p-values
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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