Description Usage Arguments Details Value See Also Examples
View source: R/nbc4va_internal.R
A vector providing overall performance metrics based on input predicted and observed cases.
1 2 3  internalGetMetrics(pred, obs, causes = unique(c(pred, obs)),
csmfa.obs = NULL, causeMetrics = internalGetCauseMetrics(pred, obs,
causes))

pred 
Chracter vector of predicted causes for each case. 
obs 
Character vector of observed causes for each case. 
causes 
Character vector of all possible causes including ones that are not in the pred or obs. 
csmfa.obs 
A character vector of the true causes for calculating the CSMF accuracy. 
causeMetrics 
Dataframe of a performance metrics per cause (see

Developer Note: Depends on the internalGetCSMFAcc
function to get the CSMF Accuracy.
metrics Named numeric vector of performance metrics (see Methods documentation):
Names: TruePositives, TrueNegatives, FalsePositives, FalseNegatives, Accuracy, Sensitivity, Specificity, PCCC, CSMFMaxError, CSMFaccuracy
TruePositives (double): total number of true positives
TrueNegatives (double): total number of true negatives
FalsePositives (double): total number of false positives
FalseNegatives (double): total number of false negatives
Sensitivity (double): the overall sensitivity
PCCC (double): the partial chance corrected concordance
CSMFMaxError (double): the maximum Cause Specific Mortality Fraction Error
CSMFaccuracy (double): the Cause Specific Mortaliy Fraction accuracy
Other internal functions: internalGetCSMFAcc
,
internalGetCSMFMaxError
,
internalGetCauseMetrics
,
internalNBC
1 2 3 4 
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