
glmnet
 Referenced in 505 articles
[sw08159]
 regression, logistic and multinomial regression models, poisson regression and the Cox model. Two recent additions...

glmmAK
 Referenced in 25 articles
[sw13218]
 implements maximumlikelihood estimation in the logistic regression with both binary (logit model) and multinomial ... cumulative logit model), and in the Poisson regression (loglinear model). Secondly, Bayesian estimation based ... MCMC in the logistic and Poisson regression model with random effects whose distribution is specified...

metafor
 Referenced in 31 articles
[sw12291]
 such data, carry out moderator and metaregression analyses, and create various types of meta ... mixedeffects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting...

bivpois
 Referenced in 17 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 ExpectationMaximization (EM) algorithm is implemented...

gbm
 Referenced in 50 articles
[sw07994]
 loss, tdistribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood...

Glmnet
 Referenced in 10 articles
[sw25026]
 linear regression, logistic and multinomial regression, Poisson regression and the Cox model. Features include: high...

Rcapture
 Referenced in 10 articles
[sw13992]
 fitted by carrying out a Poisson regression with the R function glm. Estimates...

COMPoissonReg
 Referenced in 5 articles
[sw23493]
 package COMPoissonReg: ConwayMaxwell Poisson (COMPoisson) Regression. Fit ConwayMaxwell Poisson (COMPoisson...

BARS
 Referenced in 4 articles
[sw10487]
 engine to perform splinebased 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 Bsplines (using code created ... Venables), and finding starting values for Poisson regression (using code for density estimation created...

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...

MortalitySmooth
 Referenced in 13 articles
[sw10483]
 yearinterval is assumed to be Poissondistributed, and Psplines and generalized linear array ... employed as a suitable regression methodology. ExtraPoisson variation can also be accommodated...

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

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 zerotruncated Poisson, some normal ... Discrete time survival analysis, zeroinflated 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...

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

weightedScores
 Referenced in 8 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...

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...

pch
 Referenced in 2 articles
[sw25585]
 different hazard is estimated using Poisson regression...

Lexis
 Referenced in 2 articles
[sw25125]
 split data may be used in Poisson regression models that account for the evolution...

SpatialVS
 Referenced in 1 article
[sw31495]
 Perform variable selection for the spatial Poisson regression model under the adaptive elastic net penalty ... input. We use a spatial Poisson regression model to link the spatial counts and covariates...