confint.moult: Conficence Intervals for Moult Parameters

In moult: Models for Analysing Moult in Birds

Conficence Intervals for Moult Parameters

Description

Calculate normal theory and bootstrap percentile intervals for moult parameters. Also returns bootstrap covariance matrix and standard error estimates for parameters.

Usage

## S3 method for class 'moult'
confint(object, parm, level = 0.95, ..., B = 1000, add.plot = TRUE)

Arguments

object	model output returned by call to moult.
parm	currently ignored (should be a vector of numbers or names, specifying for which parameters to calculate confidence intervals).
level	confidence level.
...	additional arguments for plot.
B	integer: number of bootstrap samples to take.
add.plot	logical: should scatterplot of bootstrapped parameters be added?

Details

End date is calculated as mean start date + duration. Half-date is calculated as mean start date + 0.5 * duration.

Value

Returns a list with elements:

bootstrap.distribution	B \times p matrix of bootstrapped parameters.
bootstrap.percentile.ci	Table of bootstrap percentile intervals for all parameters. In addition, confidence intervals for half-date and end date (see details) are given.
bootstrap.vcov	Bootstrap estimates for variances and covariances between all parameters.
bootstrap.SE	Bootstrap estimates of parameter standard errors.

Author(s)

Birgit Erni [e-mail]

Examples

data(sanderlings)
m2 <- moult(MIndex ~ Day, data = sanderlings)
## Not run: confint(m2, B = 100) # increase B for better precision

moult documentation built on Aug. 30, 2022, 9:06 a.m.