A collection of Poisson lognormal models for multivariate count data analysis

OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data

📉 JavaScript Text Statistics that counts lines, words, chars, and spaces.

rpact: Confirmatory Adaptive Clinical Trial Design and Analysis

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

Analysing Capture Seq Count Data

Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)

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.

Semiparametric and parametric estimation and bootstrapping of integer-valued autoregressive (INAR) models.

Modeling correlated count data

Text Statistics For Node Streams

R package for flexible univariate count models based on renewal processes

Mixed Poisson Regression for Overdispersed Count Data

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.

Generation, estimation and testing of INteger Autoregressive models

Web Programming Class | Final Project | Campus Assignment

Mortality Rate Prediction based on Age and Cigarette Types in Canada using Generalized Linear Model for Count Data

Minimal network meta-analysis with BUGS from R.

Analysis of seasonal habitat-use patterns of Aldabra giant tortoises of Aldabra Atoll, Seychelles using temporary emigration models.