get_mse: Obtain MSE, bias-squared and variance of posterior from nplcm...
In zhenkewu/nplcm: Nested Partially-Latent Class Models (nplcm)
Description
Usage
Arguments
Value
Description
The result is equivalent to Euclidean-type calculation after the
compositional vector (e.g., etiologic fraction) is centered-logratio tranformed.
For simulation only.
Usage
1
Arguments
DIR_NPLCM
File path where Bayesian results are stored
truth
Default is NULL. True etiologic fraction vector (must sum to 1) used to generate data
check.truth
Default is FALSE. If truth is a non-null vector,
it asks the function to check the user specified truth against the one used
in the actual simulation.
Value
a vector of (MSE, bias-squared, variance,truth)
zhenkewu/nplcm documentation built on May 4, 2019, 10:19 p.m.
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Description Usage Arguments Value
Description
The result is equivalent to Euclidean-type calculation after the compositional vector (e.g., etiologic fraction) is centered-logratio tranformed. For simulation only.
Usage
1 |
Arguments
DIR_NPLCM |
File path where Bayesian results are stored |
truth |
Default is |
check.truth |
Default is |
Value
a vector of (MSE, bias-squared, variance,truth)
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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