Count Longitudinal Data

Performs regression analysis for longitudinal count data, allowing for serial dependence among observations from a given individual and two dimensional random effects on the linear predictor. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed. Details can be found in the accompanying scientific papers: Goncalves & Cabral (2021, Journal of Statistical Software, ) and Goncalves et al. (2007, Computational Statistics & Data Analysis, ).


2015-04-15, version 1.0-4:

  • using 'meta' variable when reading the CITATION file.
  • modification of title in DESCRIPTION;
  • introduced a NEWS file.
  • amended PDF manual.

2013-10-05, version 1.0-3:

  • improvements in R code.

2013-07-30, version 1.0-2:

  • amended R code in random intercept model to allow missing data.

2013-06-26, version 1.0-1:

  • coldControl changes in both absolute and relative convergence tolerance.

2013-06-20, version 1.0-0: first upload to CRAN.

Reference manual

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2.0-3 by M. Helena Goncalves, 5 months ago

Browse source code at

Authors: M. Helena Goncalves and M. Salome Cabral , apart from a set of Fortran-77 subroutines written by R. Piessens and E. de Doncker , belonging to the suite "Quadpack".

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on methods, stats, graphics, grDevices, utils, cubature, MASS

See at CRAN