• glmnet

  • Referenced in 634 articles [sw08159]
  • regression, logistic and multinomial regression models, poisson regression and the Cox model. Two recent additions...
  • glmmAK

  • Referenced in 28 articles [sw13218]
  • implements maximum-likelihood estimation in the logistic regression with both binary (logit model) and multinomial ... cumulative logit model), and in the Poisson regression (log-linear model). Secondly, Bayesian estimation based ... MCMC in the logistic and Poisson regression model with random effects whose distribution is specified...
  • metafor

  • Referenced in 33 articles [sw12291]
  • such data, carry out moderator and meta-regression analyses, and create various types of meta ... mixed-effects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting...
  • bivpois

  • Referenced in 19 articles [sw20812]
  • Bivariate Poisson and diagonal inflated bivariate Poisson regression models in R. In this paper ... bivariate and diagonal inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented...
  • gbm

  • Referenced in 59 articles [sw07994]
  • loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood...
  • Glmnet

  • Referenced in 11 articles [sw25026]
  • linear regression, logistic and multinomial regression, Poisson regression and the Cox model. Features include: high...
  • Rcapture

  • Referenced in 11 articles [sw13992]
  • fitted by carrying out a Poisson regression with the R function glm. Estimates...
  • COMPoissonReg

  • Referenced in 6 articles [sw23493]
  • package COMPoissonReg: Conway-Maxwell Poisson (COM-Poisson) Regression. Fit Conway-Maxwell Poisson (COM-Poisson...
  • BARS

  • Referenced in 5 articles [sw10487]
  • engine to perform spline-based generalized nonparametric regression. It has been shown to work well ... BARS in C for the normal and Poisson cases, the latter being important in neurophysiological ... includes all needed subroutines for fitting Poisson regression, manipulating B-splines (using code created ... Venables), and finding starting values for Poisson regression (using code for density estimation created...
  • MortalitySmooth

  • Referenced in 15 articles [sw10483]
  • year-interval is assumed to be Poisson-distributed, and P-splines and generalized linear array ... employed as a suitable regression methodology. Extra-Poisson variation can also be accommodated...
  • PREG

  • Referenced in 3 articles [sw26380]
  • PREG: a computer program for Poisson regression analysis. PREG is a FORTRAN program that computes ... regression analysis when the dependent variable is a count that follows the Poisson distribution. This ... maximum likelihood estimation under the Poisson regression model (subroutine PRMLE), three test problems with complete ... three test problems illustrate Poisson regression with (i) a linear regression model...
  • Statistix

  • Referenced in 3 articles [sw17939]
  • linear models (including linear regression, logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests...
  • 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...
  • aster2

  • Referenced in 2 articles [sw32136]
  • Aster Models. Aster models are exponential family regression models for life history analysis. They ... different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal ... Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that are exponential ... family (e. g., logistic regression and Poisson regression with log link) are special cases. Main...
  • ZIGP

  • Referenced in 5 articles [sw25599]
  • Package ZIGP Zero Inflated Generalized Poisson (ZIGP) regression models. Fit, analyze and compare...
  • mpcmp

  • Referenced in 2 articles [sw42073]
  • Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression. A collection of functions for estimation, testing ... mean-parametrized Conway-Maxwell-Poisson (COM-Poisson) regression model of Huang (2017)
  • Clarify

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

  • Referenced in 3 articles [sw41324]
  • Group regularization for zero-inflated Poisson regression models with an application to insurance ratemaking. Zero ... selecting grouped variables in zero-inflated Poisson (ZIP) models via group bridge regularization...
  • ppmlhdfe

  • Referenced in 3 articles [sw37489]
  • Stata command for estimation of (pseudo) Poisson regression models with multiple high-dimensional fixed effects...
  • IVPOIS

  • Referenced in 1 article [sw31886]
  • module to estimate an instrumental variables Poisson regression via GMM. ivpois implements a Generalized Method ... Moments (GMM) estimator of Poisson regression and allows endogenous variables to be instrumented by excluded ... Standard errors are estimated by bootstrapping. Poisson regression assumes...