Alternatives and similar repositories for confusionMatrix

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

• cboettig / bad-forecast-good-decision
  Utility provides a more meaningful measure of forecast skill than goodness-of-fit
  ☆18Updated 3 years ago
• hturner / gnm
  gnm package for generalized nonlinear models in R
  ☆16Updated last year
• mfasiolo / gamFactory
  Tools for building new GAM models in mgcv
  ☆14Updated 2 weeks ago
• bonStats / tidytreatment
  Tidy methods for Bayesian treatment effect models
  ☆16Updated 5 months ago
• marklhc / usc-psyc621-notes
  Course Notes for PSYC 621 (Bayesian Data Analaysis, 2019 Fall)
  ☆15Updated 5 years ago
• yenchic / ModalRegression
  ☆9Updated 8 years ago
• greta-dev / greta.gp
  a greta extension for Gaussian process modelling
  ☆19Updated 5 months ago
• m-clark / latent-variable-models-workshop-2019
  A workshop on latent variables models including factor analysis, PCA, SEM, etc.
  ☆15Updated 6 years ago
• aammd / ISEC_stan_course
  A 6 hour course on Stan with Dan Simpson, Vianey Leos-Barajas, and Andrew MacDonald
  ☆19Updated 5 years ago
• becarioprecario / INLAMCMC_examples
  Examples on INLA within MCMC
  ☆11Updated 8 years ago
• tjmahr / polypoly
  Helper functions for orthogonal polynomials in R
  ☆19Updated 2 years ago
• AlanInglis / bartMan
  Visualisations for posterior evaluation of BART models.
  ☆18Updated last week
• m-clark / generalized-additive-models-workshop-2019
  A workshop on using generalized additive models and the mgcv package.
  ☆27Updated 6 years ago
• RushingLab / WILD6900
  Course materials for WILD6900: Applied Bayesian Analysis for Ecological Data
  ☆15Updated last year
• ropensci / jagstargets
  Reproducible Bayesian data analysis pipelines with targets and JAGS
  ☆10Updated 6 months ago
• m-clark / more-mixed-models-2019
  Demonstration of alternatives to lme4
  ☆13Updated 5 years ago
• akawiecki / statistical_rethinking_inla
  homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA
  ☆24Updated 3 years ago
• bearloga / dpmclust
  Bayesian nonparametric clustering in R using DP-means
  ☆12Updated 5 years ago
• DiogoFerrari / hdpGLM
  Hierarchical Dirichlet Process Generalized Linear Models
  ☆12Updated 2 months ago
• m-clark / mixed-models-with-r-workshop-2019
  Workshop on using Mixed Models with R
  ☆24Updated 6 years ago
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• alexd106 / Rbook
  Bookdown version of the Introduction to R book
  ☆26Updated last year
• Pakillo / Bayes-R-JAGS-intro
  An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
  ☆21Updated 7 years ago
• noamross / mgcv-esa-2018
  ☆16Updated 6 years ago
• gavinsimpson / ukraine-gam
  Workshop on GAMs to support Ukraine
  ☆9Updated 2 years ago
• JWiley / brmsmargins
  Average marginal estimates for Bayesian models fit with the brms package
  ☆20Updated 5 months ago
• TheoMichelot / smoothSDE
  Fit stochastic differential equation models with time-varying parameters
  ☆15Updated last month
• noamross / reprotemplate
  A template for reproducible R projects using targets, renv, Docker, and GitHub Actions
  ☆25Updated 3 years ago
• emptyfield-ds / teaching_warehouse
  Warehouse of (Raw) Teaching Materials
  ☆16Updated last week
• paul-buerkner / Bayesian-IRT-paper
  This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.
  ☆28Updated last year