count-data
There are 27 repositories under count-data topic.
PLN-team/PLNmodels
A collection of Poisson lognormal models for multivariate count data analysis
gagneurlab/OUTRIDER
OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data
jalal246/textics
📉 JavaScript Text Statistics that counts lines, words, chars, and spaces.
rpact-com/rpact
rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
anjalisilva/MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
TeamMacLean/atacr
Analysing Capture Seq Count Data
tqch/poisson-jump
Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
anjalisilva/mixMVPLN
R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.
GeoBosh/Countr
R package for flexible univariate count models based on renewal processes
ihmeuw-msca/CorrelatedCounts
Modeling correlated count data
jalal246/textics-stream
Text Statistics For Node Streams
MFaymon/spINAR
Semiparametric and parametric estimation and bootstrapping of integer-valued autoregressive (INAR) models.
blog-neas/INAr
Generation, estimation and testing of INteger Autoregressive models
cakraawijaya/WB-Register
Web Programming Class | Final Project | Campus Assignment
krishan57gupta/ROSeq
ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. Takes in the complete filtered and normalized read count matrix, the location of the two sub-populations and the number of cores to be used.
vpnsctl/mixpoissonreg
Mixed Poisson Regression for Overdispersed Count Data
ICON-in-R/NMA
Minimal network meta-analysis with BUGS from R.
louisowen6/GLM_CountData
Mortality Rate Prediction based on Age and Cigarette Types in Canada using Generalized Linear Model for Count Data
zipkinlab/Davis_etal_2022_EcolAndEvol
Davis, K. L., Silverman, E. D., Sussman, A. L., Wilson, R. R., Zipkin, E. F. (2022). Errors in aerial survey count data: Identifying pitfalls and solutions. Ecology and Evolution 12:e8733.
dilsaddt/AldabraAtoll_Aldabra_giant_tortoise_seasonal_habitat_use
Analysis of seasonal habitat-use patterns of Aldabra giant tortoises of Aldabra Atoll, Seychelles using temporary emigration models.
junsoukchoi/ZiGDAG
R package for model-based causal discovery for zero-inflated count data
marinavannucci/dmbvs
R/C code for Bayesian variable selection for Dirichlet-multinomial regression models. Accompany paper: Wadsworth et al. (2016). An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome data. BMC Bioinformatics 18:94.
niamhmimnagh/TriplePoisson
A Bayesian model designed to estimate animal abundance from limited or scarce data on vestiges, such as faeces counts or other indirect indicators of presence. The approach is particularly useful in situations where direct observations of animals are challenging or impractical.
cpauvert/PLNnetwork-workflow
Infer network from count data within Snakemake using a sparse Poisson lognormal model (PLNnetwork)
jemus42/poisson-regression
Poisson-Regression und ihre Leiden