summary.zinb {zicounts}R Documentation

Printing summary of the (censored) zinb regression model

Description

'print.zinb' and 'summary.zinb', or 'print.czinb' and 'summary.czinb' provides an efficient way of summarizing the 'zicounts' or 'zicensor' object. NOTE 'prnt.zinb.int' is used ONLY for model without covariates.

Usage

 print.zinb(x, digits = max(3, getOption("digits") - 3),...)

 summary.zinb(object, digits = max(3, getOption("digits") - 3),...)

 print.czinb(x, digits = max(3, getOption("digits") - 3),...)

 summary.czinb(object, digits = max(3, getOption("digits") - 3),...)

 prnt.zinb.int(object, digits = 1)

Arguments

x an object from the 'zicounts' or 'zicensor' fit
object an object from the 'zicounts' or 'zicensor' fit
digits number of significant decimal points.
... other options 'summary' arguments.

Author(s)

S. M. Mwalili <samuelmwalili@yahoo.com>

References

Bohning, D., E. Dietz, P. Schlattman, L. Mendonca, and U. Kirchner (1999). The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology. Journal of the Royal Statistical Society, Series A 162, 195–209.

Carrivick, P. J. W., A. H. Lee, and K. K. W. Yau (2003). Zero-inflated Poisson to evaluate occupational safety interventions. Safety Science 41, 53–63.

Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics 34, 1–14.

Lewsey, J. D. and W. M. Thomson (2004). The utility of the zero-inflated Poisson and zero-inflated negative binomial models: a case study of cross-sectional and longitudinal DMF data examining the effect of socio-economic status. Community Dentistry and Oral Epidemiology 32, 183–189.

Mwalili, S. M., Lesaffre, E. and Declerck, D. (2004). The interval censored zero-inflated negative binomial regression model: an application in caries research. submitted.

See Also

zicounts, zicensor.

Examples

## See help for ?zicounts or ?zicensor

[Package zicounts version 1.1.4 Index]