transition.counts.to.Markov.mle

calculates the mle. i.e. the row proportions of the transition matrix

Provides functionality for carrying out estimation
with data collected using Respondent-Driven Sampling. This includes
Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential
Sampling estimator. The package is part of the "RDS Analyst" suite of
packages for the analysis of respondent-driven sampling data.
See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x>,
Gile and Handcock (2015) <doi:10.1111/rssa.12091> and
Gile and Beaudry and Handcock and Ott (2018) <doi:10.1146/annurev-statistics-031017-100704>.

Mark S Handcock

Respondent-Driven Sampling

Mark S. Handcock

Krista J. Gile

Ian E. Fellows

W. Whipple Neely

transition.counts.to.Markov.mle function

<dl><dt>transition.counts</dt>
<dd>a matrix or table of transition counts</dd></dl>

Arguments

calculates the mle. i.e. the row proportions of the transition matrix — transition.counts.to.Markov.mle

<dl>

<dt>transition.counts</dt>
<dd>a matrix or table of transition counts</dd>

</dl>

transition.counts.to.Markov.mle: calculates the mle. i.e. the row proportions of the transition matrix

Description

Usage

Arguments

Details