• edgeR

  • Referenced in 46 articles [sw06936]
  • differential expression of replicated count data. An overdispersed Poisson model is used to account ... used to moderate the degree of overdispersion across transcripts, improving the reliability of inference...
  • PROC NLMIXED

  • Referenced in 58 articles [sw11039]
  • most common being pharmacokinetics and overdispersed binomial data. PROC NLMIXED enables you to specify...
  • parfm

  • Referenced in 10 articles [sw19053]
  • more and more popular to account for overdispersion and/or clustering in survival data. When...
  • HGLMMM

  • Referenced in 6 articles [sw08092]
  • random components and the residual dispersion (overdispersion) can be modeled as a function of covariates ... Overdispersion parameter can be fixed or estimated. Fixed effects in the mean structure...
  • aod

  • Referenced in 5 articles [sw14700]
  • package. aod: Analysis of Overdispersed Data. This package provides a set of functions to analyse ... overdispersed counts or proportions. Most of the methods are already available elsewhere but are scattered...
  • npmlreg

  • Referenced in 7 articles [sw08191]
  • maximum likelihood estimation or Gaussian quadrature for overdispersed generalized linear models and variance component models...
  • dhglm

  • Referenced in 4 articles [sw21272]
  • variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect...
  • Rgbp

  • Referenced in 2 articles [sw18040]
  • Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data. We utilize ... level conjugate hierarchical models on overdispersed Gaussian, Poisson, and Binomial data and evaluates whether...
  • CountsEPPM

  • Referenced in 2 articles [sw24096]
  • Mean and Variance Modeling of Under- and Overdispersed Count Data. This article describes ... models that can handle both underdispersion and overdispersion in observed count data, with the negative...
  • ReadDepth

  • Referenced in 3 articles [sw17969]
  • robust statistical model that accounts for overdispersed data. It includes a method for effectively increasing...
  • countimp

  • Referenced in 1 article [sw31551]
  • under the Poisson model, imputation of incomplete overdispersed count data under either the Quasi-Poisson ... model, imputation of zero-inflated ordinary or overdispersed count data based on a zero-inflated ... generalized linear mixed effects model (overdispersion and zero-inflation are supported...
  • performance

  • Referenced in 2 articles [sw29807]
  • error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions...
  • aods3

  • Referenced in 1 article [sw25119]
  • package aods3: Analysis of Overdispersed Data using S3 methods. This package provides functions to analyse ... overdispersed counts or proportions. These functions should be considered as complements to more sophisticated methods...
  • Psignifit

  • Referenced in 1 article [sw27238]
  • inference for the psychometric function even for overdispersed (“noisy”) data. The toolbox is available...
  • HRQoL

  • Referenced in 1 article [sw31553]
  • modelling approaches for binomial data with overdispersion, with particular interest in Health Related Quality...
  • pogit

  • Referenced in 1 article [sw35606]
  • reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression...
  • Mathematica

  • Referenced in 5857 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • R

  • Referenced in 8180 articles [sw00771]
  • R is a language and environment for statistical...
  • ROBETH

  • Referenced in 43 articles [sw00811]
  • ROBETH is the program library for robust statistical...
  • TRIPACK

  • Referenced in 15 articles [sw00978]
  • Algorithm 751: TRIPACK: A constrained two-dimensional Delaunay...