A collection of Poisson lognormal models for multivariate count data analysis
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Oct 2, 2026 - R
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OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data
rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
r analysis simulation rstats clinical-trials r-package validated count-data gxp sample-size-calculation adaptive-design power-calculation group-sequential-designs
📉 JavaScript Text Statistics that counts lines, words, chars, and spaces.
counter statistics tools stream string curl text memo search-in-text string-calculator characters string-search wordsearch count-lines count-data linesearch textics get-info mytools counts-lines
R Package With Shiny App: Permit to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
data-visualization model-selection data-simulation r-package mixture-model heatmaps bic posterior-probability aic model-based-clustering count-data icl shinyapp lineplot mcmc-em mpln-distribution variational-em aic3
Analysing Capture Seq Count Data
Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
R Package with Shiny App: Permit 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.
visualization clustering data-simulation stan matrix-variate-distributions model-based-clustering count-data modelselection mixture-models mcmc-em variational-gaussian
R package for flexible univariate count models based on renewal processes
Modeling correlated count data
Semiparametric and parametric estimation and bootstrapping of integer-valued autoregressive (INAR) models.
validation time-series simulation bootstrapping count-data penalization semiparametric-estimation parametric-estimation
Text Statistics For Node Streams
counter node statistics stream string text search-in-text transformer string-calculator string-manipulation characters string-search wordsearch count-lines count-data linesearch textics get-info mytools textics-stream
Generation, estimation and testing of INteger Autoregressive models
R package for model-based causal discovery for zero-inflated count data
bayesian-network single-cell-rna-seq directed-acyclic-graph count-data zero-inflated causal-discovery
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.
tutorial gene-expression rank vignette populations normalization gene-expression-profiles tmm count-data tung tung-dataset
Mixed Poisson Regression for Overdispersed Count Data
diagnostics negative-binomial-regression count-data local-influence poisson-inverse-gaussian-regression influence-analysis
Web Programming Class | Final Project | Campus Assignment
git search bootstrap php website composer crud validation sql js register telegram-bot webhook mariadb botman error-handling ngrok xampp count-data font-awasome
R package for statistical modeling with the Skellam distribution, supporting inference, random sampling, and regression for differences of independent Poisson counts.
regression inference estimation probability-distribution maximum-likelihood-estimation statistical-modeling count-data random-sampling skellam-distribution poisson-differences
Geographically Weighted Negative Binomial Regression in Python - local spatial modeling for over dispersed count data.
python spatial-statistics overdispersion transportation-safety geographically-weighted-regression count-data gwr negative-binomial
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