fastcmprsk: confint.fcrr – R documentation

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confint.fcrr

Confidence Intervals for Model Parameters

Computes confidence intervals for one or more parameters in a fitted model of class fcrr.

## S3 method for class 'fcrr'
confint(object, parm, level = 0.95,
  digits = max(options()$digits - 5, 2), ...)

`object`	`fcrr` object (output from `fastCrr()`)
`parm`	a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
`level`	the confidence level required
`digits`	Number of significant difits to round to.
`...`	Additional arguments. Not implemented.

Prints out table of confidence intervals for the Fine-Gray model.

A matrix (or vector) with columns giving lower and upper confidence limits for each coefficient estimate.

Fine-Gray Regression via Forward-Backward Scan

v1.1.1

GPL-3

Authors

Eric S. Kawaguchi

Initial release