Output-class: Constructor of Output class
In yizhenxu/TVLT: Targeted Gold Standard Testing
Description
This class contains invisible results of OptimalRule function.
Details
- phi
Percentage of patients taking viral load test.
- Z
A vector of true disease status (Failure Status coded as Z=1).
- S
A vector of risk Score.
- Rules
A matrix of all possible tripartite rules (two cutoffs) derived from the training data set.
- Nonparametric
A boolean indicating if nonparametric approach should be used in calculating the misclassfication rates. If FALSE, semiparametric approach would be used.
- FNR.FPR
A matrix with two columns of misclassification rates, FNR and FPR.
- OptRule
A numeric vector with two elements, the lower and upper cutoffs of the optimal tripartite rule.
The Output class adds optimal rule to the TGST class.
yizhenxu/TVLT documentation built on Nov. 27, 2020, 2:37 a.m.
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Description
This class contains invisible results of OptimalRule function.
Details
- phi
Percentage of patients taking viral load test.
- Z
A vector of true disease status (Failure Status coded as Z=1).
- S
A vector of risk Score.
- Rules
A matrix of all possible tripartite rules (two cutoffs) derived from the training data set.
- Nonparametric
A boolean indicating if nonparametric approach should be used in calculating the misclassfication rates. If FALSE, semiparametric approach would be used.
- FNR.FPR
A matrix with two columns of misclassification rates, FNR and FPR.
- OptRule
A numeric vector with two elements, the lower and upper cutoffs of the optimal tripartite rule.
The Output class adds optimal rule to the TGST class.
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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