Alternatives and similar repositories for dirichletprocess

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

• bbolker / bbmle
  maximum likelihood estimation package
  ☆25Updated 10 months ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆24Updated 3 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆26Updated last month
• jaredhuling / fastglm
  Fast glm fitting via RcppEigen
  ☆59Updated 2 weeks ago
• kisungyou / Rdimtools
  Dimension Reduction and Estimation Methods
  ☆55Updated 3 months ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆47Updated 3 weeks ago
• kcf-jackson / maniTools
  R package: Manifold learning in R
  ☆13Updated 5 years ago
• selective-inference / R-software
  R software for selective inference
  ☆36Updated 6 years ago
• tlverse / hal9001
  🤠 📿 The Highly Adaptive Lasso
  ☆49Updated last year
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆46Updated 10 months ago
• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆35Updated 2 weeks ago
• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 4 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆113Updated 3 weeks ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 5 years ago
• YaohuiZeng / grpregOverlap
  Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
  ☆20Updated 2 years ago
• jacobbien / simulator
  An Engine for Running Simulations
  ☆52Updated 2 years ago
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆51Updated 3 weeks ago
• mariarizzo / energy
  energy package for R
  ☆48Updated last year
• jmbh / mgm
  Estimation of Time-Varying k-order Mixed Graphical Models
  ☆29Updated 9 months ago
• Andrew9Lawson / Bayesian-DM-code-examples
  BDM Code examples from Win/OpenBUGS, CARBayes and INLA
  ☆27Updated 6 years ago
• ikosmidis / brglm2
  Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
  ☆33Updated last month
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆32Updated 10 months ago
• SteffenMoritz / imputeR
  CRAN R package: Impute missing values based on automated variable selection
  ☆16Updated 4 years ago
• mlampros / ClusterR
  Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
  ☆84Updated last week
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• pbreheny / biglasso
  biglasso: Extending Lasso Model Fitting to Big Data in R
  ☆115Updated 2 weeks ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆36Updated 8 years ago
• evalclass / precrec
  An R library for accurate and fast calculations of Precision-Recall and ROC curves
  ☆44Updated 7 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year