linreg_yhat: Linear Regression (y hat)
In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics
Description
Usage
Arguments
Value
Author(s)
Description
Calculates the y hat
(\hat{y}
= \mathbf{y} - \mathbf{e}
= \mathbf{X} \boldsymbol{\hat{β}}
= \mathbf{H} \mathbf{y} ).
Usage
1
linreg_yhat(X, y)
Arguments
X
The data matrix,
that is an n \times k matrix of n observations
of k regressors,
which includes a regressor whose value is 1 for each observation.
y
n \times 1 vector of observations on the regressand variable.
Value
Returns \hat{y}.
Author(s)
Ivan Jacob Agaloos Pesigan
jeksterslabds/jeksterslabRds documentation built on July 16, 2020, 3:41 p.m.
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Description Usage Arguments Value Author(s)
Description
Calculates the y hat (\hat{y} = \mathbf{y} - \mathbf{e} = \mathbf{X} \boldsymbol{\hat{β}} = \mathbf{H} \mathbf{y} ).
Usage
1 | linreg_yhat(X, y)
|
Arguments
X |
The data matrix, that is an n \times k matrix of n observations of k regressors, which includes a regressor whose value is 1 for each observation. |
y |
n \times 1 vector of observations on the regressand variable. |
Value
Returns \hat{y}.
Author(s)
Ivan Jacob Agaloos Pesigan
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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