sensitivity: Sensitivity Estimate for Logistic Regression Models.
In noahlorinczcomi/glmice: A model diagnostic and fit statistic calculator for logit models performed on data sets imputed using 'mice'
Description
Usage
Arguments
Value
Description
Returns a sensitvity estimate when comparing your predicted classifications to observed classifications.
Usage
1
sensitivity(predicted, actual)
Arguments
predicted
this parameter can either take (i) a 2x2 table/confusion matrix of predictions and observed classes (with predictions displayed on the vertical, left side), or (ii) your predicted classifications.
actual
if param predicted is not a table, this parameter will take your actual (observed) values of your outcome (must be binary, not the predicted probabilities)
Value
sensitivity estimate
noahlorinczcomi/glmice documentation built on May 26, 2019, 1:33 a.m.
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Description Usage Arguments Value
Description
Returns a sensitvity estimate when comparing your predicted classifications to observed classifications.
Usage
1 | sensitivity(predicted, actual)
|
Arguments
predicted |
this parameter can either take (i) a 2x2 table/confusion matrix of predictions and observed classes (with predictions displayed on the vertical, left side), or (ii) your predicted classifications. |
actual |
if param predicted is not a table, this parameter will take your actual (observed) values of your outcome (must be binary, not the predicted probabilities) |
Value
sensitivity estimate
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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