summary.zinb {zicounts} | R Documentation |
'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.
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)
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. |
S. M. Mwalili <samuelmwalili@yahoo.com>
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 help for ?zicounts or ?zicensor