rmse_metric: Root mean square error
In jkbest2/spatq: Use spatially varying catchability to standardize fishery-dependent data
rmse_metric R Documentation
Root mean square error
Description
Calculate the root mean square error of the estimated indices of abundance
compared to the true, simulated values. Expects that these will be on a
common scale, e.g. by using rescale_indices.
Usage
rmse_metric(est_index, true_index)
Arguments
est_index
Estimated rescaled index
true_index
True rescaled index
Value
Root mean square error of the estimates
Author(s)
John Best
jkbest2/spatq documentation built on Sept. 22, 2022, 3:22 a.m.
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| rmse_metric | R Documentation |
Root mean square error
Description
Calculate the root mean square error of the estimated indices of abundance
compared to the true, simulated values. Expects that these will be on a
common scale, e.g. by using rescale_indices.
Usage
rmse_metric(est_index, true_index)
Arguments
est_index |
Estimated rescaled index |
true_index |
True rescaled index |
Value
Root mean square error of the estimates
Author(s)
John Best
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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