COUNT
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Software:38292
swMATH26562CRANCOUNTMaRDI QIDQ38292
Functions, Data and Code for Count Data
Last update: 19 October 2016
Copyright license: GNU General Public License, version 2.0
Software version identifier: 1.3.4
Source code repository: https://github.com/cran/COUNT
Related Items (78)
On Stratified Density Ratio Models ⋮ Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signal Detection ⋮ Note on the singularity of the Poisson-gamma model ⋮ Bayesian semiparametric model for pathway-based analysis with zero-inflated clinical outcomes ⋮ Reduced-rank vector generalized linear models with two linear predictors ⋮ Retail store scheduling for profit ⋮ SUPERPOSITIONED STATIONARY COUNT TIME SERIES ⋮ Meta‐analysis of clinical trials with rare events ⋮ The analysis of zero-inflated count data: Beyond zero-inflated Poisson regression. ⋮ Zero-one inflated negative binomial - beta exponential distribution for count data with many zeros and ones ⋮ Negative Binomial Regression ⋮ Confidence intervals, prediction intervals and tolerance intervals for negative binomial distributions ⋮ A multilevel zero-inflated Conway–Maxwell type negative binomial model for analysing clustered count data ⋮ Robust inference in the negative binomial regression model with an application to falls data ⋮ Computational aspects of N‐mixture models ⋮ A score test for testing a marginalized zero-inflated Poisson regression model against a marginalized zero-inflated negative binomial regression model ⋮ The Design of an Optimal Bonus-Malus System Based on the Sichel Distribution ⋮ Improved shrinkage estimators in zero-inflated negative binomial regression model ⋮ Particle swarm optimization-based variable selection in Poisson regression analysis via information complexity-type criteria ⋮ Asymptotic results in censored zero-inflated Poisson regression ⋮ Splitting models for multivariate count data ⋮ Discrete Weibull distribution: different estimation methods under ranked set sampling and simple random sampling ⋮ An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data ⋮ A Jackknifed estimators for the negative binomial regression model ⋮ A simulation study for count data models under varying degrees of outliers and zeros ⋮ A new approach to truncated regression for count data ⋮ Dispersion modelling of outstanding claims with double Poisson regression models ⋮ A generalized stochastic condensation mechanism for inducing underdispersion in count models ⋮ A regression model for overdispersed data without too many zeros ⋮ Regression modeling of one-inflated positive count data ⋮ Consistency for the negative binomial regression with fixed covariate ⋮ New zero-inflated regression models with a variant of censoring ⋮ Quantile regression for overdispersed count data: a hierarchical method ⋮ A test for lack-of-fit of zero-inflated negative binomial models ⋮ Improved two-parameter estimators for the negative binomial and Poisson regression models ⋮ A mixed-effects least square support vector regression model for three-level count data ⋮ Random forests in count data modelling: an analysis of the influence of data features and overdispersion on regression performance ⋮ Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering ⋮ ASYMPTOTIC CUMULANTS OF SOME INFORMATION CRITERIA ⋮ Statistical development of animal density estimation using random encounter modelling ⋮ Analysis of count data with covariate dependence in both mean and variance ⋮ Modelling over- and underdispersed frequencies of successful ink transmissions onto paper ⋮ Generalized Poisson–Lindley linear model for count data ⋮ Pǿlya–Aeppli regression model for overdispersed count data ⋮ A Weibull-count approach for handling under- and overdispersed longitudinal/clustered data structures ⋮ Sequential negative binomial problems and statistical ecology: a selected review with new directions ⋮ Zero-inflated Bell regression models for count data ⋮ Hierarchical Bayesian spatio-temporal Conway-Maxwell Poisson models with dynamic dispersion ⋮ Multilevel zero-inflated generalized Poisson regression modeling for dispersed correlated count data ⋮ Demand forecasting of individual probability density functions with machine learning ⋮ Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model ⋮ Simultaneous transformation and rounding (STAR) models for integer-valued data ⋮ Bayesian inference for the negative binomial-Sushila linear model ⋮ Evidence synthesis for count distributions based on heterogeneous and incomplete aggregated data ⋮ National security vs. human rights: a game theoretic analysis of the tension between these objectives ⋮ A new two-parameter estimator for the Poisson regression model ⋮ Liu-Type Negative Binomial Regression: A Comparison of Recent Estimators and Applications ⋮ Joint models for longitudinal counts and left-truncated time-to event data with applications to health insurance ⋮ Minimum average deviance estimation for sufficient dimension reduction ⋮ A parametric model fitting time to first event for overdispersed data: application to time to relapse in multiple sclerosis ⋮ Geographically weighted negative binomial regression -- incorporating overdispersion ⋮ Sensitivity analysis and calibration of population size estimates obtained with the zero-truncated Poisson regression model ⋮ An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions ⋮ On testing the hidden heterogeneity in negative binomial regression models ⋮ Transition models for count data: a flexible alternative to fixed distribution models ⋮ Compound Poisson point processes, concentration and oracle inequalities ⋮ Robust quasi-likelihood estimation for the negative binomial integer-valued GARCH(1,1) model with an application to transaction counts ⋮ On features of fugue subjects. A comparison of J.S. Bach and later composers ⋮ Right-censored mixed Poisson count models with detection times ⋮ On the Gompertz-Makeham law: a useful mortality model to deal with human mortality ⋮ Modeling event cascades using networks of additive count sequences ⋮ Multiple inflated negative binomial regression for correlated multivariate count data ⋮ Calibration tests for count data ⋮ Spatio-temporal model for multiple ChIP-seq experiments ⋮ Modeling nematode population dynamics using a multivariate poisson model with spike and slab variable selection ⋮ saeeb ⋮ Going Viral, Binge-Watching, and Attention Cannibalism ⋮ On the mean-parameterized Bell-Touchard regression model for count data
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