glmm

There are 1 repository under glmm topic.

• florianhartig / DHARMa

  Diagnostics for HierArchical Regession Models

  cranglmmregressionregression-diagnosticsresidual
  Language:R 246

• pbs-assess / sdmTMB

  An R package for spatial and spatiotemporal GLMMs with TMB

  rglmmspatial-analysisecologytmbspecies-distribution-modelling
  Language:R 228

• junpenglao / GLMM-in-Python

  Generalized linear mixed-effect model in Python

  bayesian-inferenceglmmlinear-mixed-modelspymc3statistics
  Language:Jupyter Notebook 182

• Pakillo / LM-GLM-GLMM-intro

  A unified framework for data analysis with GLM/GLMM in R

  glmmmultilevel-modelssliderglmlmlme4statistics
  Language:R 123

• oliviergimenez / bayesian-stats-with-R

  Material for a workshop on Bayesian stats with R

  jagsrstatsmcmcbayesian-inferencemixed-modelsglmm
  Language:HTML 74

• oliviergimenez / statistics-for-ecologists-Master-courses

  The material for a course on Statistics for ecologists I teach every year to Master students.

  statistics-coursebayesian-inferenceglmm
  Language:R 59

• strengejacke / mixed-models-snippets

  This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.

  glmmlme4mixed-modelsr
  Language:R 37

• daijiang / phyr

  Functions for phylogenetic analyses

  rrpackageglmmbayesianphylogenyinlaspecies-distribution-modeling
  Language:R 36

• cran-task-views / MixedModels

  CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R

  cranglmmhierarchical-modelsmixed-effectsmixed-modelsmultilevel-modelsrrstatstask-views
  Language:R 28

• NErler / JointAI

  Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

  imputationmissing-valuesbayesianlinear-mixed-modelslinear-regression-modelsmcmc-samplejagssurvivalmcmc-samplingjoint-analysismissing-dataimputationsglmglmmgeneralized-linear-modelsrstats
  Language:R 28
• glmmSeq

  myles-lewis / glmmSeq

  Gene-level general linear mixed model

  bioinformaticsdifferential-gene-expressiongene-expressiontranscriptomicscranglmmmixed-models
  Language:R 22

• myaseen208 / StroupGLMM

  R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

  glmglmmlmlmm
  Language:R 14

• eveskew / glmm_tutorial

  A tutorial on generalized linear mixed models in R

  rrstatsstatisticstutorialglmm
  Language:R 13
• RSB-R-Stats-Biology

  timotheenivalis / RSB-R-Stats-Biology

  Second year of the workshop series on biological statistics in R at RSB, ANU.

  rsbanuworkshop-seriesbiological-statisticslinear-regressionmixed-modelsglmm
  Language:HTML 8

• idiv-biodiversity / BACI_GLMM

  Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration

  bacibefore-after-control-impactglmmlme4restorationenvironmental-impact
  Language:R 4

• gladstone-institutes / LODopt

  R package for cell type abundance association analysis for single cell data.

  single-cellcelltype-compositionabundanceassociation-analysisglmm
  Language:R 3

• jamesmurray7 / gmvjoint

  Generalised joint models of survival and multivariate longitudinal data

  joint-modelslongitudinalmixed-modelssurvival-analysisglmmmodelpredictionsurvival
  Language:R 3

• oliviergimenez / bayes-workshop

  Material for a workshop "Introduction to Bayesian statistics with R"

  bayesian-statisticsbrmsglmmnimble
  Language:HTML 3

• quantifish / influ2

  Bayesian version of the R package influ (https://github.com/trophia/influ) for use with brms models

  brmsstanglmglmmggplot2
  Language:R 3

• oliviergimenez / fit-glmm-with-brms

  Fit GLMM with brms

  brmsglmmjagslme4
  Language:HTML 2

• TauConsortium / adad-nucseq-psen1

  Repository containing the computational code for Single Nucleus RNA Sequencing Demonstrates an Autosomal Dominant Alzheimer’s Disease Profile and Possible Mechanism of Disease Protection manuscript by Almeida et al.

  alzheimers-diseasebrainglmmsingle-cell-rna-seqspatial-transcriptomicshdwgcna
  Language:R 2

• valentinitnelav / Saldur-ROR-analysis

  R code & data for the analysis of the environmental impact of a "run-of-river" hydropower plant on the riverine ecosystem of the Saldur stream, a glacier-fed stream located in the Italian Central-Eastern Alps.

  glmmbaciaquaticbenthic-macroinvertebratesbioindicatorsenvironmental-impactglmmtmbhydropowermacroinvertebratesrbefore-after-control-impactriverine-ecosystem
  Language:R 2

• agbarnett / YSC2019

  R code for the course at YSC2019

  rglmmsasworkshopstatistics
  Language:R 1

• jinghuazhao / GDCT

  Genetics Dissection of Complex Traits

  complex-traitsglmmpolygenic-models
  Language:C 1

• mjmjpark / Actuarial-Modeling

  Predictive Modeling in insurance with GLM, Bayesian, Neural Net

  bayesianmodelingglmglmmneural-networkstate-space-model
  Language:Jupyter Notebook 1

• Reem-Alatrash / German-Dialect-Variation

  Selected scripts from my Master's thesis on computationally finding the syntactical differences between standard German and the urban vernacular Kiezdeutsch.

  master-thesiskiezdeutschgermankidkograinlogistic-regression-analysisglmglmmpos
  Language:R 1

• SCnext / mixedSCGLR

  Supervised Component Generalised Linear Regression for mixed models

  rpackagecomponent-based-regressionschall-algorithmglmmmultivariate
  Language:R 1

• weihan-zhao / knotweed_fieldwork

  The documents under this repository are the codes for analysis of knotweed population performance across ranges and environmental drivers of trait variation

  functional-traitsglmmhierarchical-clusteringinvasion-biologylinear-discriminant-analysisvarpar
  Language:R 1

• AnaAGG / Statistical-Analysis-with-R

  In this repository you can find the code to deal with statistical problems using R. You will find GLM, GLMM

  generalized-linear-modelsglmglmmlineal-regressionlmlmmmixed-modelmixed-models
  Language:R 0

• aritzLizoain / Analyzing-schizophrenia

  Analysis of the evolution of prevalence of thought disorders

  generalized-linear-mixed-modelsglmmlongitudinal-dataschizophrenia
  Language:R 0

• miguel-barreto-univ / FCEA-TFG

  Trabajo Final de Grado (TFG), Facultad de Ciencias Económicas y Administración (FCEA), UdelaR.

  bayesianglmmirt
  0

• Nosa-Osawe / Mosquitoes-modelling-

  I am using physicochemical properties of mosquitoe larval habitat to predict their abundance and co-occurence, in southern Nigeria.

  ecology-modellingglmmpca-analysis
  Language:R 0

• OuhscBbmc / RandomRPQL

  A variable selection method for generalize linear mixed-effect models

  glmmr-packagestatistics
  Language:R 0

• cjabradshaw / forestsfloods

  Deforestation amplifies flood risk and severity in the developing world

  floodsforestsfloodingglmmdeforestationforest-lossflooding-eventscostshuman-displacementglm
  Language:R

• krashr-ds / R-ds

  R Data Science & Stats

  glmglmmmultiple-correspondence-analysis
  Language:HTML

• Ritwik-Bhaduri / GLMMEM

  GLMMeM - Generalized Linear Mixed Measurement error Models

  lmmglmm
  Language:R