Showing 3 of total 3 results (show query)
tidyverse
purrr:Functional Programming Tools
A complete and consistent functional programming toolkit for R.
Maintained by Hadley Wickham. Last updated 2 months ago.
1.3k stars 22.12 score 59k scripts 6.9k dependents
robindenz1
simDAG:Simulate Data from a DAG and Associated Node Information
Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression and more. Also includes a comprehensive framework for discrete-time simulation, which can generate even more complex longitudinal data.
Maintained by Robin Denz. Last updated 1 hours ago.
causal-inferencedirected-acyclic-graphsimulation
11 stars 7.69 score 77 scripts
muriteams
ergmito:Exponential Random Graph Models for Small Networks
Simulation and estimation of Exponential Random Graph Models (ERGMs) for small networks using exact statistics as shown in Vega Yon et al. (2020) <DOI:10.1016/j.socnet.2020.07.005>. As a difference from the 'ergm' package, 'ergmito' circumvents using Markov-Chain Maximum Likelihood Estimator (MC-MLE) and instead uses Maximum Likelihood Estimator (MLE) to fit ERGMs for small networks. As exhaustive enumeration is computationally feasible for small networks, this R package takes advantage of this and provides tools for calculating likelihood functions, and other relevant functions, directly, meaning that in many cases both estimation and simulation of ERGMs for small networks can be faster and more accurate than simulation-based algorithms.
Maintained by George Vega Yon. Last updated 2 years ago.
ergmexponential-random-graph-modelsstatisticsopenblascppopenmp
9 stars 5.49 score 34 scripts