• BayesLogit

  • Referenced in 46 articles [sw09312]
  • fully Bayesian inference in models with binomial likelihoods. The approach appeals to a new class ... versatility of the method, including logistic regression, negative binomial regression, nonlinear mixed-effect models...
  • COUNT

  • Referenced in 61 articles [sw26562]
  • code for Hilbe, J.M. 2011. Negative Binomial Regression, 2nd Edition (Cambridge University Press) and Hilbe...
  • weightedScores

  • Referenced in 10 articles [sw12457]
  • weightedScores: Weighted Scores Method for Regression Models with Dependent Data. Has functions that handle ... binary (logistic and probit), Poisson and negative binomial regression, with dependent data. Two versions ... negative binomial regression from Cameron and Trivedi (1998) are used...
  • Clarify

  • Referenced in 3 articles [sw26299]
  • logit, ordered probit, multinomial logit, Poisson regression, negative binomial regression, weibull regression, seemingly unrelated regression...
  • mpath

  • Referenced in 4 articles [sw13914]
  • zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute...
  • mtreatnb

  • Referenced in 1 article [sw37511]
  • Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment ... estimation of a multinomial treatment effects negative binomial regression model. A latent factor structure...
  • GWRM

  • Referenced in 11 articles [sw11197]
  • Waring regression model for count data. A regression model for count data based ... than a model based on the negative binomial distribution...
  • robustnegbin

  • Referenced in 1 article [sw32616]
  • package robustnegbin: robust estimates for the negative binomial regression model...
  • countgmifs

  • Referenced in 1 article [sw37934]
  • function for fitting Poisson and negative binomial regression models when the number of parameters exceeds...
  • pogit

  • Referenced in 1 article [sw35606]
  • overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors...
  • spatcounts

  • Referenced in 6 articles [sw13743]
  • application to health insurance. We consider spatial regression models for count data. We examine ... capable of modeling over-dispersion, the negative Binomial as well as the zero-inflated Poisson...
  • bigsplines

  • Referenced in 2 articles [sw16387]
  • package bigsplines. Fits smoothing spline regression models using scalable algorithms designed for large samples ... Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial...
  • glarma

  • Referenced in 5 articles [sw23274]
  • state vector consists of a linear regression component plus an observation driven component consisting ... predictive residuals. Currently three distributions (Poisson, negative binomial and binomial) can be used...
  • epifit

  • Referenced in 1 article [sw18469]
  • Poisson regression models, logistic models and others whose likelihood is expressed in negative binomial, gamma...
  • LDOD

  • Referenced in 1 article [sw20245]
  • Negative Binomial, Poisson, Michaelis-Menten, Exponential, Log-Linear, Emax, Richards, Weibull and Inverse Quadratic regression...
  • QNB

  • Referenced in 0 articles [sw18166]
  • independent negative binomial distributions, and with their variances and means linked by local regressions, respectively...
  • merlin

  • Referenced in 2 articles [sw34074]
  • linear, and user-defined mixed effects regression models following the framework developed by Crowther ... include the Bernoulli, Gaussian, Poisson, beta, negative-binomial, and time-to-event/survival models include...
  • countimp

  • Referenced in 1 article [sw31551]
  • approach (Rubin, 1987) or on a bootstrap regression approach within a chained equations MI framework ... either the Quasi-Poisson or the Negative Binomial model, imputation of zero-inflated ordinary...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...