CRAN/E | remstimate

remstimate

Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models

Installation

About

A comprehensive set of tools designed for optimizing likelihood within a tie-oriented (Butts, C., 2008, doi:10.1111/j.1467-9531.2008.00203.x) or an actor-oriented modelling framework (Stadtfeld, C., & Block, P., 2017, doi:10.15195/v4.a14) in relational event networks. The package accommodates both frequentist and Bayesian approaches. The frequentist approaches that the package incorporates are the Maximum Likelihood Optimization (MLE) and the Gradient-based Optimization (GDADAMAX). The Bayesian methodologies included in the package are the Bayesian Sampling Importance Resampling (BSIR) and the Hamiltonian Monte Carlo (HMC). The flexibility of choosing between frequentist and Bayesian optimization approaches allows researchers to select the estimation approach which aligns the most with their analytical preferences.

tilburgnetworkgroup.github.io/remstimate/
Bug report File report

Key Metrics

Version 2.3.11
R ≥ 4.0.0
Published 2024-05-16 144 days ago
Needs compilation? yes
License MIT
License File
CRAN checks remstimate results

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Maintainer

Maintainer

Giuseppe Arena

Authors

Giuseppe Arena

aut / cre

Rumana Lakdawala

aut

Fabio Generoso Vieira

aut

Marlyne Meijerink-Bosman

ctb

Diana Karimova

ctb

Mahdi Shafiee Kamalabad

ctb

Roger Leenders

ctb

Joris Mulder

ctb

Material

Reference manual
Package source

Vignettes

Modeling relational event networks with remstimate

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

remstimate archive

Depends

R ≥ 4.0.0

Imports

methods
Rcpp
remify ≥ 3.2.4
trust
remstats ≥ 3.2.1
mvnfast

Suggests

knitr
rmarkdown
tinytest

LinkingTo

Rcpp
RcppArmadillo
remify