linreg_negll: Linear Regression (-LL).
In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics
Description
Usage
Arguments
Author(s)
Description
Calculates the negative log-likelihood of y.
Usage
1
linreg_negll(theta, X, y)
Arguments
theta
Vector of σ^2 and k regression coefficients.
Note that σ^2 must always be the first element in the vector.
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.
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 Author(s)
Description
Calculates the negative log-likelihood of y.
Usage
1 | linreg_negll(theta, X, y)
|
Arguments
theta |
Vector of σ^2 and k regression coefficients. Note that σ^2 must always be the first element in the vector. |
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. |
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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