ones

Functions and S4 methods to create and manage discrete time Markov
chains more easily. In addition functions to perform statistical (fitting
and drawing random variates) and probabilistic (analysis of their structural
proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>.
Some functions for continuous times Markov chains depends on the suggested ctmcd package, that,
as May 2023, can be retrieved from <https://cran.r-project.org/src/contrib/Archive/ctmcd/ctmcd_1.4.2.tar.gz>.

Giorgio Spedicato

markovchain

Easy Handling Discrete Time Markov Chains

Giorgio Alfredo Spedicato

Tae Seung Kang

Sai Bhargav Yalamanchi

Mildenberger Thoralf

Deepak Yadav

Ignacio Cordón

Vandit Jain

Toni Giorgino

Richèl J.C. Bilderbeek

Daniel Ebbert

Shreyash Maheshwari

ones function

<dl><dt>n</dt>
<dd>size of the matrix</dd></dl>

Arguments

Returns an Identity matrix — ones

<dl>

<dt>n</dt>
<dd>size of the matrix</dd>

</dl>

Returns an Identity matrix

ones: Returns an Identity matrix

Description

Usage

Value

Arguments