perm

Produces the possible permutations of a set of nodes

internal

Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Humphreys and Jacobs, 2023, Integrated Inferences (<DOI: 10.1017/9781316718636>) and Pearl, 2009 Causality (<DOI:10.1017/CBO9780511803161>).

Till Tietz

CausalQueries

Make, Update, and Query Binary Causal Models

Clara Bicalho

Jasper Cooper

Macartan Humphreys

Alan Jacobs

Merlin Heidemanns

Lily Medina

Julio Solis

Georgiy Syunyaev

perm function

<dl><dt>max</dt>
<dd>A vector of integers. The maximum value of an integer value
starting at 0. Defaults to 1. The number of permutation is defined
by <code>max</code>'s length</dd></dl>

Arguments

Produces the possible permutations of a set of nodes — perm

<dl>

<dt>max</dt>
<dd>A vector of integers. The maximum value of an integer value
starting at 0. Defaults to 1. The number of permutation is defined
by <code>max</code>'s length</dd>

</dl>

Produces the possible permutations of a set of nodes

perm: Produces the possible permutations of a set of nodes

Description

Usage

Value

Arguments