mse: Mean Squared Error.
In penplaqr/penplaqr:
Description
Given coefficient estimates from a set of simulations, mse calculates
the mean squared error of the estimates average across all simulations.
Usage
1
mse(model_coefficients, beta0, threshold)
Arguments
model_coefficients
a vector or matrix of coefficient estimates. If a matrix,
then the coefficients should vary by row and the simulations should vary by column.
beta0
a numeric vector containing the true coefficient values.
threshold
a scalar threshold below which coefficients should be set to zero.
penplaqr/penplaqr documentation built on May 6, 2019, 11:44 a.m.
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Description
Given coefficient estimates from a set of simulations, mse calculates
the mean squared error of the estimates average across all simulations.
Usage
1 | mse(model_coefficients, beta0, threshold)
|
Arguments
model_coefficients |
a vector or matrix of coefficient estimates. If a matrix, then the coefficients should vary by row and the simulations should vary by column. |
beta0 |
a numeric vector containing the true coefficient values. |
threshold |
a scalar threshold below which coefficients should be set to zero. |
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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