Alternatives and similar repositories for sir-hawkes

Users that are interested in sir-hawkes are comparing it to the libraries listed below

• Emergent-Epidemics / infectious_disease_predictability
  Code and data for On the Predictability of Infectious Disease Outbreaks by SV Scarpino & G Petri
  ☆19Updated 5 years ago
• alan-turing-institute / network-comparison
  An R package implementing the NetEMD and NetDis network comparison measures
  ☆14Updated 3 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆21Updated 4 months ago
• akira-endo / Intro-PMCMC
  Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.
  ☆12Updated 2 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆32Updated 2 years ago
• snap-stanford / covid-mobility-tool
  ☆11Updated 4 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated last month
• sbfnk / rbi
  R package for Bayesian inference with state-space models using LibBi.
  ☆24Updated last year
• magnanim-old / multinet
  Analysis and mining of multilayer networks
  ☆18Updated 5 years ago
• AaltoPML / spatiotemporal-graph-kernels
  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
  ☆16Updated 3 years ago
• BrianAronson / birankr
  CRAN package for estimating various rank (centrality) measures of nodes in bipartite graphs (two-mode networks).
  ☆40Updated 3 years ago
• taylordr / supracentrality
  Eigenvector centrality for Multilayer, Multiplex and Temporal Networks
  ☆11Updated 2 years ago
• TaddyLab / MBA
  ☆11Updated 3 years ago
• junipertcy / bipartiteSBM
  A Bayesian model+algorithm for community detection in bipartite networks
  ☆58Updated 4 years ago
• cbreto / panelPomp
  R package for statistical inference using panelPOMPs (panel Partially Observed Markov Processes)
  ☆11Updated 10 months ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 5 months ago
• MateusMaiaDS / gpbart
  Implementation of GP-BART algorithm.
  ☆16Updated last year
• s-mishra / featuredriven-hawkes
  Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction
  ☆71Updated 8 years ago
• jgarciab / NetworkScience
  Summer School on Network Science (UU)
  ☆22Updated last week
• tedwestling / ctsCausal
  ☆10Updated 2 years ago
• skojaku / km_config
  An algorithm for finding multiple core-periphery pairs in networks.
  ☆12Updated 3 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated 10 months ago
• alfredgalichon / VQR
  Code for Vector Quantile Regression (Carlier, Chernozhukov, Galichon, Annals of Statistics, 2016)
  ☆16Updated 3 years ago
• jofmi / agentpy_workshop
  Interactive notebooks with tutorials for the agentpy package.
  ☆15Updated 3 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• gcant / temporal-recovery-tree-py
  Recover temporal information from grown trees, using Python
  ☆11Updated 4 years ago
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 4 months ago
• pholme / anime
  Temporal network visualization
  ☆15Updated 4 years ago