Alternatives and similar repositories for fdasrvf_R

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

• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆33Updated last week
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆44Updated 3 months ago
• sambrilleman / simsurv
  Simulate Survival Data
  ☆24Updated 4 years ago
• mlr-org / miesmuschel
  Flexible Mixed Integer Evolutionary Strategies
  ☆16Updated 3 months ago
• boost-R / FDboost
  Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
  ☆20Updated 2 months ago
• mike-lawrence / ezStan
  An R package containing helper functions for Stan
  ☆17Updated 3 years ago
• yenchic / ModalRegression
  ☆9Updated 8 years ago
• kcf-jackson / maniTools
  R package: Manifold learning in R
  ☆13Updated 5 years ago
• a-hanf / mlr3automl
  Automated machine learning in mlr3
  ☆27Updated 3 years ago
• bgreenwell / investr
  Inverse estimation in R
  ☆23Updated 2 years ago
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆11Updated 3 years ago
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆49Updated 3 weeks ago
• ypan1988 / roptim
  General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() s…
  ☆20Updated 2 years ago
• datalorax / esvis
  R Package for effect size visualizations.
  ☆51Updated 5 years ago
• mike-lawrence / bayes_days
  R & Stan code associated with my "Bayes Days" workshop
  ☆14Updated 9 years ago
• Novartis / Causal-inference-in-RCTs
  This repository contains code examples for several methods in a Causal Inference in RCTs short course.
  ☆26Updated 2 months ago
• mlr-org / mlr3filters
  Filter-based feature selection for mlr3
  ☆21Updated 4 months ago
• NErler / JointAI
  Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
  ☆28Updated last year
• bbolker / bbmle
  maximum likelihood estimation package
  ☆26Updated 4 months ago
• markmfredrickson / optmatch
  Functions for optimal matching in R
  ☆47Updated 2 weeks ago
• zadrafi / concurve
  A repository for the 'concurve' R package which generates confidence distributions and likelihood functions. Includes documentation on ho…
  ☆22Updated 2 weeks ago
• sakrejda / stannis
  Code for effectively dealing with running CmdStan... from R.... because reasons...
  ☆13Updated 3 years ago
• drizopoulos / GLMMadaptive
  GLMMs with adaptive Gaussian quadrature
  ☆60Updated 3 months ago
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• hturner / gnm
  gnm package for generalized nonlinear models in R
  ☆16Updated last year
• mlr-org / mlr3tuningspaces
  Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem
  ☆13Updated last month
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆40Updated last week
• tlverse / origami
  Comprehensive Cross-Validation Engine
  ☆27Updated 2 years ago
• okgreece / gginference
  Visualise the Results of Inferential Statistics using 'ggplot2'
  ☆13Updated 2 years ago