linreg_h: Linear Regression Hat Matrix
In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics
Description
Usage
Arguments
Value
Author(s)
Description
Calculates the hat matrix (H)
\mathbf{H}
=
\mathbf{X}
≤ft(
\mathbf{X}^{\prime}
\mathbf{X}
\right)^{-1}
\mathbf{X}^{\prime}
.
Usage
1
linreg_h(X)
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.
Value
Returns the hat matrix (H).
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 hat matrix (H)
\mathbf{H} = \mathbf{X} ≤ft( \mathbf{X}^{\prime} \mathbf{X} \right)^{-1} \mathbf{X}^{\prime}
.
Usage
1 | linreg_h(X)
|
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. |
Value
Returns the hat matrix (H).
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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