Alternatives and similar repositories for BayesPowerlaw

Users that are interested in BayesPowerlaw are comparing it to the libraries listed below

• alylab / labmanual
  Lab Manual for the Aly Lab at the University of California, Berkeley
  ☆97Updated 2 months ago
• nyiuab / BhGLM
  BhGLM (Bayesian hierarchical GLMs and survival models)
  ☆21Updated last year
• hredestig / pcaMethods
  Perform PCA on data with missing values in R
  ☆53Updated 2 years ago
• jlmelville / smallvis
  R package for dimensionality reduction of small datasets
  ☆69Updated 2 months ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆22Updated 3 weeks ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 4 months ago
• ejolly / pymer4
  All the convenience of lme4 in python
  ☆218Updated 3 months ago
• jwcarr / mantel
  Python implementation of the Mantel test, a significance test of the correlation between two distance matrices
  ☆35Updated 3 weeks ago
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆26Updated 3 years ago
• miicTeam / miic_R_package
  Learning causal or non-causal graphical models using information theory
  ☆32Updated last week
• deepak7376 / robustbase
  A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)
  ☆15Updated last year
• ACCLAB / DABEST-python
  Data Analysis with Bootstrapped ESTimation
  ☆367Updated 2 months ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆182Updated 7 years ago
• GRousselet / rogme
  Robust Graphical Methods For Group Comparisons
  ☆85Updated 2 years ago
• bagrow / network-portrait-divergence
  An information-theoretic, all-scales approach to comparing networks
  ☆34Updated 3 years ago
• pkimes / sigclust2
  tests for statistical significance of clustering
  ☆38Updated 7 years ago
• cbg-ethz / SGS
  Inference in Bayesian Networks with R
  ☆12Updated 2 years ago
• rcannood / princurve
  Fits a Principal Curve in Arbitrary Dimension ⤵
  ☆44Updated 11 months ago
• neurostuff / PyMARE
  PyMARE: Python Meta-Analysis & Regression Engine
  ☆56Updated 8 months ago
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆60Updated last month
• msteyvers / matjags
  MATJAGS, a Matlab interface for JAGS
  ☆16Updated 7 years ago
• paytonjjones / networktools
  networktools
  ☆10Updated 4 months ago
• anna-neufeld / datathin
  ☆14Updated last year
• stephenslab / flashr
  R package for Empirical Bayes Factor Analysis.
  ☆52Updated last year
• duncanwadsworth / dmbvs
  Dirichlet-Multinomial Bayesian Variable Selection
  ☆14Updated last year
• PhilBoileau / scPCA
  A toolbox for sparse contrastive principal component analysis
  ☆12Updated 10 months ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆65Updated 3 weeks ago
• dcgerard / vicar
  Various Ideas for Confounder Adjustment in Regression
  ☆24Updated 2 years ago
• nguforche / MEml
  Mixed Effect Machine Learning
  ☆10Updated 5 years ago
• maiermarco / DirichletReg
  ☆13Updated 4 years ago