contrast: Contrast Functions and Jacobians

In RobinCar2: ROBust INference for Covariate Adjustment in Randomized Clinical Trials

Contrast Functions and Jacobians

Description

Contrast Functions and Jacobians

Create Contrast of Pairs

Usage

h_diff(x, y)

h_jac_diff(x, y)

h_ratio(x, y)

h_jac_ratio(x, y)

h_odds_ratio(x, y)

h_jac_odds_ratio(x, y)

eff_jacob(f)

pairwise(levels, x = levels)

against_ref(levels, ref = levels[1], x = tail(levels, -1))

custom_contrast(levels, x, y)

Arguments

x	(vector) A vector of treatment levels.
y	(vector) A vector of treatment levels.
f	(function) Function with argument x and y to compute treatment effect.
levels	(character) Levels of the treatment.
ref	(string or int) Reference level.

Value

Vector of contrasts, or matrix of jacobians.

A list of contrast object with following elements:

• Index of the treatment group.

• Index of the reference group. Additional attributes include levels and max_levels indicating the names of the treatment levels and the maximum number of levels.

Examples

h_diff(1:3, 4:6)
h_jac_ratio(1:3, 4:6)

RobinCar2 documentation built on April 3, 2025, 9:34 p.m.