
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 55 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...

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...

dhglm
 Referenced in 3 articles
[sw21272]
 variance of random effects, and residual variance (overdispersion) can be further modeled as randomeffect...

countimp
 Referenced in 1 article
[sw31551]
 under the Poisson model, imputation of incomplete overdispersed count data under either the QuasiPoisson ... model, imputation of zeroinflated ordinary or overdispersed count data based on a zeroinflated ... generalized linear mixed effects model (overdispersion and zeroinflation are supported...

ReadDepth
 Referenced in 2 articles
[sw17969]
 robust statistical model that accounts for overdispersed data. It includes a method for effectively increasing...

performance
 Referenced in 2 articles
[sw29807]
 error or functions to check models for overdispersion, singularity or zeroinflation 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...

Mathematica
 Referenced in 5766 articles
[sw00554]
 Almost any workflow involves computing results, and that...

R
 Referenced in 7813 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 twodimensional Delaunay...

LISPSTAT
 Referenced in 115 articles
[sw01111]
 LispStat is an extensible statistical computing environment...