simb: Simulation based inference with a calibration curve object
In pmcalibration: Calibration Curves for Clinical Prediction Models
simb R Documentation
Simulation based inference with a calibration curve object
Description
Simulation based inference with a calibration curve object
Usage
simb(cal, R)
## S3 method for class 'glm_cal'
simb(cal, R = 1000)
## S3 method for class 'gam_cal'
simb(cal, R = 1000)
## S3 method for class 'lowess_cal'
simb(cal, R)
## S3 method for class 'loess_cal'
simb(cal, R)
Arguments
cal
an object created using one of the cal functions
R
number of simulated replicates
Value
simulated calibration metrics and values for plotting
pmcalibration documentation built on Sept. 8, 2023, 5:10 p.m.
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| simb | R Documentation |
Simulation based inference with a calibration curve object
Description
Simulation based inference with a calibration curve object
Usage
simb(cal, R)
## S3 method for class 'glm_cal'
simb(cal, R = 1000)
## S3 method for class 'gam_cal'
simb(cal, R = 1000)
## S3 method for class 'lowess_cal'
simb(cal, R)
## S3 method for class 'loess_cal'
simb(cal, R)
Arguments
cal |
an object created using one of the |
R |
number of simulated replicates |
Value
simulated calibration metrics and values for plotting
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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