MSE: Mean Squared Error (MSE)
In smildiner/simHMM: Execute simulation study with mHMMbayes
MSE R Documentation
Mean Squared Error (MSE)
Description
Mean Squared Error (MSE)
Usage
MSE(simulated_param_values, true_param_value)
Arguments
simulated_param_values
k-length numeric vector. k >= 1 and holds the parameter values of the estimated parameters.
true_param_value
numeric. Value of the ground-truth parameter.
Value
Mean-Squared Error
See Also
Morris, Tim P., Ian R. White, and Michael J. Crowther. "Using simulation studies to evaluate statistical methods." Statistics in medicine 38.11 (2019): 2074-2102.
smildiner/simHMM documentation built on July 17, 2022, 2 p.m.
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| MSE | R Documentation |
Mean Squared Error (MSE)
Description
Mean Squared Error (MSE)
Usage
MSE(simulated_param_values, true_param_value)
Arguments
simulated_param_values |
k-length numeric vector. k >= 1 and holds the parameter values of the estimated parameters. |
true_param_value |
numeric. Value of the ground-truth parameter. |
Value
Mean-Squared Error
See Also
Morris, Tim P., Ian R. White, and Michael J. Crowther. "Using simulation studies to evaluate statistical methods." Statistics in medicine 38.11 (2019): 2074-2102.
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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