summary.logistic_cal: Summarize a logistic_cal object
In pmcalibration: Calibration Curves for Clinical Prediction Models
summary.logistic_cal R Documentation
Summarize a logistic_cal object
Description
Summarize a logistic_cal object
Usage
## S3 method for class 'logistic_cal'
summary(object, conf_level = 0.95, ...)
Arguments
object
a logistic_cal object
conf_level
width of the confidence interval (0.95 gives 95% CI)
...
ignored
Value
estimates and conf_level*100 confidence intervals for calibration intercept and calibration slope.
The former is estimated from a glm (family = binomial("logit")) where the linear predictor (logit(p)) is included as an offset.
pmcalibration documentation built on Sept. 8, 2023, 5:10 p.m.
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| summary.logistic_cal | R Documentation |
Summarize a logistic_cal object
Description
Summarize a logistic_cal object
Usage
## S3 method for class 'logistic_cal'
summary(object, conf_level = 0.95, ...)
Arguments
object |
a |
conf_level |
width of the confidence interval (0.95 gives 95% CI) |
... |
ignored |
Value
estimates and conf_level*100 confidence intervals for calibration intercept and calibration slope.
The former is estimated from a glm (family = binomial("logit")) where the linear predictor (logit(p)) is included as an offset.
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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