estimate_survey_roc: Estimate ROC curve for complex survey data
In tamytsujimoto/surveyROC: ROC curve for survey data
Description
Usage
Arguments
Value
Description
Function to estimate ROC curve (FPR, TPR) for complex survey data
Usage
1
Arguments
data
data frame containing continuous marker X and class label D
grid
optional numeric vector of points for roc curve from 0 to 1
var_weight
string variable name for sampling weight. If specified, should be included in data
ci
Logical, if true, will calculate asymptotic confidence interval for the TPF
Value
a dataframe containing
fpr: False positive rate (equals to grid, if specified)
tpr: True positive rate
cutoff: cutoffs for continuous marker
tamytsujimoto/surveyROC documentation built on Sept. 8, 2021, 11:35 p.m.
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Description Usage Arguments Value
Description
Function to estimate ROC curve (FPR, TPR) for complex survey data
Usage
1 |
Arguments
data |
data frame containing continuous marker X and class label D |
grid |
optional numeric vector of points for roc curve from 0 to 1 |
var_weight |
string variable name for sampling weight. If specified, should be included in data |
ci |
Logical, if true, will calculate asymptotic confidence interval for the TPF |
Value
a dataframe containing
fpr: False positive rate (equals to grid, if specified)
tpr: True positive rate
cutoff: cutoffs for continuous marker
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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