confint.transreg: Confidence intervals for estimated parameters
In ekenah/transtat: Statistical Methods for Infectious Disease Transmission

Description Usage Arguments Value Author(s)

Calculates confidence intervals for estimated parameters from a transreg model by inverting the Wald or likelihood ratio tests.

## S3 method for class 'transreg'
confint(
  treg,
  parm,
  level = 0.95,
  type = "wald",
  lrint = c(0.2, 5),
  extendInt_lower = "downX",
  extendInt_upper = "upX",
  ...
)

`treg`	An object of class `transeg`.
`parm`	A parameter name or vector of parameter names. If missing, confidence intervals are calculated for all estimated parameters.
`level`	The confidence level (1 - alpha).
`type`	The type of confidence interval. Current options are `wald` for Wald confidence limits and `lr` for likelihood ratio confidence limits. The latter are more accurate but more computationally intensive.
`lrint`	The highest and lowest multiples of the standard error used by `uniroot` to find likelihood ratio confidence limits.
`extendInt_lower`	The extendInt argument in `uniroot` when calculating the lower likelihood ratio confidence limit.
`extendInt_upper`	The extendInt argument in `uniroot` when calculating the upper likelihood ratio confidence limit.
`...`	Additional arguments sent to `uniroot`.

A data frame with one row for each parameter in parm that contains the lower and upper confidence limits in columns labeled \frac{α}{2} and 1 - \frac{α}{2} expressed as percentiles.

Eben Kenah kenah.1@osu.edu

ekenah/transtat documentation built on Nov. 11, 2021, 3:12 p.m.