gof_ts: Goodness of Fit for a time series
In jstagge/staggefuncs: General Personal Functions for James Stagge
Description
Usage
Arguments
Value
Description
Calculates a number of goodness of fit statatistics for a time series. These include, Mean Error (ME), Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), Pearson Correlation, and Spearman Correlation.
Usage
1
gof_ts(pred, obs)
Arguments
pred
vector of predicted values
obs
vector of observed values
Value
gof_results list of goodness of fit statistics
jstagge/staggefuncs documentation built on May 20, 2019, 2:11 a.m.
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Description Usage Arguments Value
Description
Calculates a number of goodness of fit statatistics for a time series. These include, Mean Error (ME), Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), Pearson Correlation, and Spearman Correlation.
Usage
1 | gof_ts(pred, obs)
|
Arguments
pred |
vector of predicted values |
obs |
vector of observed values |
Value
gof_results list of goodness of fit statistics
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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