rel_bias: Compute the parameter bias of a vector estimated parameters...
In smildiner/simHMM: Execute simulation study with mHMMbayes
rel_bias R Documentation
Compute the parameter bias of a vector estimated parameters versus the ground-truth value of that parameter (modified from Jasper)
Description
Compute the parameter bias of a vector estimated parameters versus the ground-truth value of that parameter (modified from Jasper)
Usage
rel_bias(true_param_value, simulated_param_values)
Arguments
true_param_value
numeric. Value of the ground-truth parameter.
simulated_param_values
k-length numeric vector. k >= 1 and holds the parameter values of the estimated parameters.
Details
This function computes the percentage bias by using the signed mean difference.
Value
numeric vector. Contains two elements: (1) average bias of simulated values versus the ground-truth value and (2) MCMC SE of the bias value
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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| rel_bias | R Documentation |
Compute the parameter bias of a vector estimated parameters versus the ground-truth value of that parameter (modified from Jasper)
Description
Compute the parameter bias of a vector estimated parameters versus the ground-truth value of that parameter (modified from Jasper)
Usage
rel_bias(true_param_value, simulated_param_values)
Arguments
true_param_value |
numeric. Value of the ground-truth parameter. |
simulated_param_values |
k-length numeric vector. k >= 1 and holds the parameter values of the estimated parameters. |
Details
This function computes the percentage bias by using the signed mean difference.
Value
numeric vector. Contains two elements: (1) average bias of simulated values versus the ground-truth value and (2) MCMC SE of the bias value
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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