p-wolfe / network-histogram-codeLinks
Code to implement the network histogram (Olhede and Wolfe, arXiv:1312.5306)
☆11Updated 10 years ago
Alternatives and similar repositories for network-histogram-code
Users that are interested in network-histogram-code are comparing it to the libraries listed below
Sorting:
- Noisy network measurement with stan☆56Updated 4 years ago
- Targeted Maximum Likelihood Estimation for Network Data☆20Updated 7 years ago
- An R package implementing the NetEMD and NetDis network comparison measures☆14Updated 3 years ago
- Exploratory Principal Component Analysis☆11Updated last year
- R package to compute distribution-free prediction bands using density estimators☆9Updated 4 years ago
- Contains methods to uniformly sample graphs with a given degree sequence.☆19Updated 6 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Updated 3 years ago
- Summer School on Network Science (UU)☆22Updated 3 weeks ago
- Hierarchical stochastic block model (HSBM)☆18Updated 4 years ago
- Estimation of Time-Varying k-order Mixed Graphical Models☆30Updated 4 months ago
- An algorithm for finding multiple core-periphery pairs in networks.☆13Updated 3 years ago
- Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.☆16Updated last year
- Bayesian Gaussian Graphical Models☆56Updated 3 months ago
- ggplot2 extension to visualize persistent homology☆24Updated 3 months ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 10 months ago
- A new type of SBM☆18Updated 5 years ago
- Code to test Rt estimates against synthetic data☆18Updated 4 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 months ago
- A Bayesian model+algorithm for community detection in bipartite networks☆58Updated 4 years ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆30Updated 4 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 5 months ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 3 years ago
- ☆31Updated 2 months ago
- The Faculty Hiring Networks described in ...☆27Updated 2 years ago
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…☆9Updated 5 years ago
- multiplex: algebraic tools for the analysis of multiple social networks☆25Updated 6 months ago
- causaleffect: R package for identifying causal effects.☆33Updated 2 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆18Updated 5 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 2 weeks ago