• COMPoissonReg

  • Referenced in 6 articles [sw23493]
  • Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010)
  • spatcounts

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

  • Referenced in 4 articles [sw14010]
  • singular vectors of the subset of the data matrix. The resulting estimates of artifacts ... approach specifically created for count data or FPKMs from sequencing experiments based on appropriate data ... batch effect estimation on simulated data, real count-based data and FPKM-based data. These...
  • BayCount

  • Referenced in 3 articles [sw26925]
  • with highly over-dispersed RNA sequencing count data. Using negative binomial factor analysis, BayCount takes ... gene-specific random effects on raw counts of sequencing reads mapped to each gene ... cancer and kidney cancer RNA sequencing count data and obtain biologically interpretable results. Our method ... characterizing tumor heterogeneity using RNA sequencing count data that simultaneously removes the need of normalizing...
  • geoBayes

  • Referenced in 5 articles [sw16727]
  • data can be continuous, binary or count data and the models implemented are flexible. Conjugate...
  • acp

  • Referenced in 5 articles [sw23280]
  • Autoregressive Conditional Poisson. Analysis of count data exhibiting autoregressive properties, using the Autoregressive Conditional Poisson...
  • CountsEPPM

  • Referenced in 2 articles [sw24096]
  • CountsEPPM: Mean and Variance Modeling of Count Data: Mean and Variance Modeling of Under ... Overdispersed Count Data. This article describes the R package CountsEPPM and its use in determining ... both underdispersion and overdispersion in observed count data, with the negative binomial and Poisson distributions...
  • recount

  • Referenced in 10 articles [sw17315]
  • ready RNA-seq gene count datasets. Explore and download data from the recount project. Explore ... download data from the recount project available at https://jhubiostatistics.shinyapps.io/recount/. Using the recount package ... exon-exon junctions level, the raw counts, the phenotype metadata used, the urls ... annotation-agnostic differential expression analyses with the data from the recount project as described...
  • HTSeq

  • Referenced in 8 articles [sw16898]
  • data structures that allow for querying via genomic coordinates. We also present htseq-count ... that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads...
  • countreg

  • Referenced in 2 articles [sw35588]
  • package countreg: Count Data Regression. S3 functions for generalized count data regression and related tools...
  • geoCount

  • Referenced in 2 articles [sw24240]
  • geoCount: Analysis and Modeling for Geostatistical Count Data. This package provides a variety of functions ... analyze and model geostatistical count data with generalized linear spatial models, including 1) simulate...
  • Voom

  • Referenced in 19 articles [sw14009]
  • better than count-based RNA-seq methods even when the data are generated according...
  • epiR

  • Referenced in 3 articles [sw09176]
  • package for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures ... single or multiple strata of count data presented in a contingency table, and computing confidence...
  • countimp

  • Referenced in 1 article [sw31551]
  • package countimp: Multiple Imputation of incomplete count data. Special data types like count data require ... very limited with regard to count data. The countimp package provides easy to use multiple ... imputation (MI) procedures for incomplete count data based on either a Bayesian regression approach (Rubin ... current version of countimp supports ordinary count data imputation under the Poisson model, imputation...
  • cold

  • Referenced in 2 articles [sw33868]
  • Data. Performs regression analysis for longitudinal count data, allowing for serial dependence among observations from...
  • PoisNonNor

  • Referenced in 3 articles [sw25212]
  • package PoisNonNor: Simultaneous Generation of Count and Continuous Data. Generation of count (assuming Poisson distribution...
  • ShrinkBayes

  • Referenced in 6 articles [sw13991]
  • package for analysis of count-based sequencing data in complex study designs...
  • ZIBBSeqDiscovery

  • Referenced in 1 article [sw41968]
  • Inflated Beta-Binomial Modeling of Microbiome Count Data. Microbiome count data (Operational Taxonomic Unit, OTUs ... model for the distribution of the count data, and employes link functions to adjust interested ... mean-overdispersion relationship to the count data. This package can be used to test ... association between the composition of the microbiome counts and the interested covariates...
  • CorrPoisson

  • Referenced in 1 article [sw37265]
  • macro CorrPoisson: Generating Correlated and/or Overdispersed Count Data: A SAS Implementation. Analysis of longitudinal count ... data has, for long, been done using a generalized linear mixed model (GLMM ... gamma random effects. Inherently though, longitudinal count data commonly exhibit both features of correlation ... serves this purpose, not only for count data but for the general exponential family...
  • hurdlr

  • Referenced in 1 article [sw41970]
  • Modelling Using Bayesian Inference. When considering count data, it is often the case that many ... more zero counts than would be expected of some given distribution are observed ... used to best model problematic count data that cannot be fit to any typical distribution ... also not uncommon that count data have an abundance of large-number observations which would...