package

ergm.tapered

The R software package ergm.tapered: Provides a set of terms and functions implementing Tapered exponential-family random graph models (ERGMs). Tapered ERGMs are a modification of ERGMs that reduce the effects of phase transitions, and with properly chosen hyper-parameters, provably removes all multiphase behavior.

WHO all cause of mortality and excess death calculator

I have developed statistical models and tools for tracking all-cause mortality and estimating excess mortality. This is to support the COVID-19 pandemic response. These tools are being used by the World Health Organization (WHO).

network

The R software package network: Classes for Relational Data (Carter T. Butts, maintainer).

rpm

The R software package rpm: that estimates revealed preferences based on observed bipartite matchings as detailed in Goyal, Handcock, Jackson, Rendall and Yeung (2023). Many problems in demography require models for partnership formation that separate latent preferences for partners from the availability of partners.

sspse

The R software package sspse: that implements successive sampling population size estimation (SS-PSE). SS-PSE is used to estimate the size of hidden populations using respondent-driven sampling (RDS) data. The package can implement SS-PSE, visibility SS-PSE, and capture-recapture SS-PSE.

ergm.count

The R software package ergm.count: Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges (Pavel N. Krivitsky maintainer).

RDS

The R software package RDS: that carries 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 CRAN manual is very detailed.

RDS Analyst

RDS Analyst is a software package for the analysis of Respondent-driven sampling (RDS) data that implements recent advances in statistical methods. RDS Analyst has an easy-to-use graphical user interface to the powerful and sophisticated capabilities of the computer package R.

Comparing Estimation Methods for Network Models

The paper: A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph Models by Marijtje A. van Duijn, Krista J. Gile, Mark S.

networksis

The R software package networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals through Sequential Importance Sampling.