COUNT1.3.4 package

Functions, Data and Code for Count Data

logit_syn

Logistic regression : generic synthetic binary/binomial logistic data ...

ml.nb1

NB1: maximum likelihood linear negative binomial regression

ml.nb2

NB2: maximum likelihood linear negative binomial regression

ml.nbc

NBC: maximum likelihood linear negative binomial regression

ml.pois

NB2: maximum likelihood Poisson regression

modelfit

Fit Statistics for generalized linear models

myTable

Frequency table

nb1_syn

Negative binomial (NB1): generic synthetic linear negative binomial da...

nb2.obs.pred

Table of negative binomial counts: observed vs predicted proportions a...

nb2_syn

Negative binomial (NB2): generic synthetic negative binomial data and ...

nbc_syn

Negative binomial (NB-C): generic synthetic canonical negative binomia...

poi.obs.pred

Table of Poisson counts: observed vs predicted proportions and differe...

poisson_syn

Poisson : generic synthetic Poisson data and model

probit_syn

Probit regression : generic synthetic binary/binomial probit data and ...

Download source packageRead PDF manual

Functions, data and code for Hilbe, J.M. 2011. Negative Binomial Regression, 2nd Edition (Cambridge University Press) and Hilbe, J.M. 2014. Modeling Count Data (Cambridge University Press).

  • Maintainer: Andrew Robinson
  • License: GPL-2
  • Last published: 2016-10-19