• COUNT

  • Referenced in 46 articles [sw26562]
  • COUNT: Functions, Data and Code for Count Data. Functions, data and code for Hilbe ... Press) and Hilbe, J.M. 2014. Modeling Count Data (Cambridge University Press...
  • edgeR

  • Referenced in 48 articles [sw06936]
  • functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies ... involves determining whether there is evidence that counts for a transcript or exon are significantly ... examining differential expression of replicated count data. An overdispersed Poisson model is used to account ... sequencing data, such as proteome peptide count data...
  • Mplus

  • Referenced in 339 articles [sw06511]
  • with either observed or unobserved heterogeneity, and data that contain missing values. Analyses ... binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types ... capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according...
  • DEseq

  • Referenced in 51 articles [sw10344]
  • distribution. Estimate variance-mean dependence in count data from high-throughput sequencing assays and test...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • Gamma latent variables. We propose a new data-augmentation strategy for fully Bayesian inference ... effect models, and spatial models for count data. In each case, our data-augmentation strategy...
  • pscl

  • Referenced in 25 articles [sw07110]
  • zero-inflated and hurdle models for count data; goodness-of-fit measures for GLMs; data...
  • DCL

  • Referenced in 24 articles [sw11087]
  • adding the information of reported count data to a classical triangle of reserving data...
  • BaySeq

  • Referenced in 17 articles [sw10343]
  • patterns of differential expression in count data. Results: We propose a framework for defining patterns...
  • GWRM

  • Referenced in 9 articles [sw11197]
  • generalized Waring regression model for count data. A regression model for count data based...
  • addreg

  • Referenced in 19 articles [sw12107]
  • take both right censored and counting process data...
  • MortalitySmooth

  • Referenced in 12 articles [sw10483]
  • package provides a framework for smoothing count data in both one- and two-dimensional settings...
  • Surveillance

  • Referenced in 28 articles [sw00932]
  • epidemic phenomena. This includes count, binary and categorical data time series as well as continuous...
  • LogXact

  • Referenced in 16 articles [sw12105]
  • including continuous and binary, polytonomous, count, and missing data. Users of the software...
  • glmmML

  • Referenced in 8 articles [sw07509]
  • Generalized linear models with clustered data: fixed and random effects models The statistical analysis ... mixed effects models for binary and count data is investigated. In the statistical computing environment...
  • Proc Traj

  • Referenced in 13 articles [sw11097]
  • longitudinal data. Applications to psychometric scale data, offense counts, and a dichotomous prevalence measure...
  • DCluster

  • Referenced in 8 articles [sw08594]
  • spatial clusters of disease using count data. Bootstrap is used to estimate sampling distributions...
  • qcc

  • Referenced in 8 articles [sw11593]
  • control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves...
  • QuasiSeq

  • Referenced in 7 articles [sw11359]
  • differentially expressed genes in RNA-seq count data using quasi-Poisson or quasi-negative binomial...
  • spatcounts

  • Referenced in 6 articles [sw13743]
  • consider spatial regression models for count data. We examine not only the Poisson distribution...
  • COMPoissonReg

  • Referenced in 5 articles [sw23493]
  • Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010)