cran / mgcv

Related projects ⓘ

Alternatives and complementary repositories for mgcv

• caseyyoungflesh / MCMCvis
  R package to visualize, manipulate, and summarize MCMC output
  ☆37Updated 5 months ago
• coatless-rpkg / r-to-armadillo
  Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)
  ☆30Updated last year
• goldingn / gpe
  Gaussian process everything - an R package to reimplement and combine common statistical models using GPs
  ☆26Updated 6 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆40Updated 2 months ago
• bmcclintock / momentuHMM
  Maximum likelihood analysis Of animal MovemENT behavior Using multivariate Hidden Markov Models
  ☆42Updated 2 months ago
• eric-pedersen / mgcv-esa-workshop
  ☆48Updated 9 months ago
• DanOvando / learn-stan
  A practical introduction to modeling in Stan
  ☆46Updated 2 years ago
• larmarange / broom.helpers
  A set of functions to facilitate manipulation of tibbles produced by broom
  ☆22Updated last month
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆41Updated 2 months ago
• julianfaraway / brinla
  Bayesian Regression with INLA
  ☆46Updated last year
• timcdlucas / INLAutils
  R package providing utilities for INLA
  ☆26Updated 2 years ago
• aloy / lmeresampler
  R package for resampling multilevel models
  ☆37Updated 4 months 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
• r-tmap / tmaptools
  Tools for thematic maps
  ☆42Updated 4 months ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆49Updated 5 months ago
• mfasiolo / qgam
  Additive quantile regression R package
  ☆30Updated 2 months ago
• benjamin-rosenbaum / bayesian-intro
  Introduction to Bayesian statistics
  ☆17Updated last year
• mfasiolo / mgcViz
  An R package for interactive visualization of GAM models
  ☆76Updated 2 months ago
• gavinsimpson / physalia-gam-course
  Generalized Additive Models; a data-driven approach to estimating regression models
  ☆75Updated 5 months ago
• MilesMcBain / inlegend
  Styling for inset ggplot2 map legends
  ☆41Updated 3 years ago
• bbolker / bbmle
  maximum likelihood estimation package
  ☆25Updated last month
• mtennekes / tmap-workshop
  Workshop: plotting spatial data in R
  ☆21Updated 4 years ago
• tidymodels / applicable
  Quantify extrapolation of new samples given a training set
  ☆46Updated 6 months ago
• michaeldorman / mapsapi
  'sf'-Compatible Interface to Google Maps APIs
  ☆50Updated last year
• twolodzko / extraDistr
  Additional univariate and multivariate distributions
  ☆52Updated 2 months ago
• olafmersmann / truncnorm
  Density, probability, quantile and random number generation functions for the truncated normal distribution.
  ☆24Updated last year
• citoverse / cito
  Building and Training Neural Networks with an R interface
  ☆37Updated last month
• jjchern / gglorenz
  Plotting Lorenz curves with the blessing of ggplot2
  ☆31Updated 4 years ago
• gavinsimpson / schoenberg
  ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
  ☆27Updated 6 years ago
• nicholasjclark / physalia-forecasting-course
  Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
  ☆36Updated 4 months ago