Package: remstimate 2.3.11

Giuseppe Arena

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

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.

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]

remstimate_2.3.11.tar.gz
remstimate_2.3.11.tar.gz(r-4.5-noble)remstimate_2.3.11.tar.gz(r-4.4-noble)
remstimate_2.3.11.tgz(r-4.4-emscripten)remstimate_2.3.11.tgz(r-4.3-emscripten)
remstimate.pdf |remstimate.html
remstimate/json (API)

# Install 'remstimate' in R:
install.packages('remstimate', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tilburgnetworkgroup/remstimate/issues

Pkgdown:https://tilburgnetworkgroup.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • ao_data - Actor-Oriented Relational Event History
  • tie_data - Tie-Oriented Relational Event History

2.45 score 14 scripts 555 downloads 6 exports 19 dependencies

Last updated 7 months agofrom:1fdb895d73. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linux-x86_64OKNov 13 2024

Exports:aicaiccbicdiagnosticsremstimatewaic

Dependencies:BHclicpp11glueigraphlatticelifecyclemagrittrMatrixmvnfastpkgconfigRcppRcppArmadilloRcppProgressremifyremstatsrlangtrustvctrs

Modeling relational event networks with remstimate

Rendered fromremstimate.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2023-12-21
Started: 2023-12-21