Package {ife}

Type:	Package
Title:	Autodiff for Influence Function Based Estimates
Version:	0.2.3
Maintainer:	Nicholas Williams <ntwilliams.personal@gmail.com>
Description:	Implements an S7 class for estimates based on influence functions, with forward mode automatic differentiation defined for standard arithmetic operations.
License:	GPL (≥ 3)
Encoding:	UTF-8
URL:	https://github.com/nt-williams/ife
BugReports:	https://github.com/nt-williams/ife/issues
Imports:	cli, collapse, generics, S7 (≥ 0.2.0)
RoxygenNote:	7.3.2
Suggests:	testthat (≥ 3.0.0)
Config/testthat/edition:	3
NeedsCompilation:	no
Packaged:	2026-02-06 23:03:29 UTC; nicholaswilliams
Author:	Nicholas Williams [aut, cre, cph]
Repository:	CRAN
Date/Publication:	2026-02-07 06:10:30 UTC

Create a new 'influence_func_estimate' object

Description

Create a new 'influence_func_estimate' object

Usage

ife(
  x,
  eif,
  weights = rep(1, length(eif)),
  id = as.character(1:length(eif)),
  critical_value = qnorm(0.975)
)

influence_func_estimate(
  x,
  eif,
  weights = rep(1, length(eif)),
  id = as.character(1:length(eif)),
  critical_value = qnorm(0.975)
)

Arguments

Value

An 'S7' object of class influence_func_estimate.

Examples

x <- influence_func_estimate(5, runif(10))
y <- ife(5, runif(10))
x + y
x + 1
1 - y
x / y
x * y
tidy(x)
# Example: Confidence interval for a variance estimate
x <- rnorm(100, 0, 2)
ife(mean(x^2), x^2 - mean(x^2)) - ife(mean(x), x - mean(x))^2

Objects exported from other packages

Description

These objects are imported from other packages. Follow the links below to see their documentation.

generics

tidy