Usage Notes

The functions described in this chapter have primary application in the areas of reliability and life testing, but they may find application in any situation in which analysis of binomial events over time is of interest. Kalbfleisch and Prentice (1980), Elandt-Johnson and Johnson (1980), Lee (1980), Gross and Clark (1975), Lawless (1982), and Chiang (1968) and Tanner and Wong (1984) are references for discussing the models and methods described in this chapter.

Function kaplanMeierEstimates produces Kaplan-Meier (product-limit) estimates of the survival distribution in a single population, and these can be printed using the t_print optional argument.

Function propHazardsGenLin computes the parameter estimates in a proportional hazards model.

Function survivalGlm fits any of several generalized linear models for survival data, and survivalEstimates computes estimates of survival probabilities based upon the same models.

Function nonparamHazardRate performs nonparametric hazard rate estimation using kernel functions and quasi-likelihoods.

Function lifeTables computes and (optionally) prints an actuarial table based either upon a cohort followed over time or a cross-section of a population.