Package {ife}

Type:	Package
Title:	Autodiff for Influence Function Based Estimates
Version:	0.2.5
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:	2026-07-01 18:13:50 UTC; nicholaswilliams
Author:	Nicholas Williams [aut, cre, cph]
Repository:	CRAN
Date/Publication:	2026-07-02 02:30:08 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

Details

If known survey weights are provided, the variance estimator is the sample variance of the influence function multiplied by the survey weights (see DOI: 10.1093/aje/kwu197 for more information). If there is clustering, x and eif are assumed to be on the individual-level. The individual-level influence function is then aggregated to the cluster-level and the variance estimator is the sample variance of the estimated cluster-level influence function, scaled by the number of clusters (see DOI: 10.1002/sim.9813 for more information).

Value

An 'S7' object of class influence_func_estimate.

Examples

.x <- rnorm(100)
.y <- rnorm(100)
x <- influence_func_estimate(mean(.x), .x - mean(.x))
y <- influence_func_estimate(mean(.x), .y - mean(.y))
x + y
x + 1
1 - y
x / y
x * y
tidy(x)
# Example: Confidence interval for a variance estimate
.z <- rnorm(100, 0, sqrt(4))
ife(mean(.z^2), .z^2 - mean(.z^2)) - ife(mean(.z), .z - mean(.z))^2

Objects exported from other packages

Description

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

generics

tidy