spef is an R package that consists of a collection of functions for fitting semiparametric regression models for panel count survival data. Estimating procedures include: Wang-Yan’s augmented estimating equations (AEE, AEEX), Huang-Wang-Zhang’s method (HWZ), Zhang’s maximum pseudolikelihood (MPL), Maximum pseudolikelihood with I-Splines (MPLs), Maximum likelihood with I-Splines (MLs), Sun-Wei’s method (`EE.SWa`, `EE.SWb`, `EE.SWc`), Hu-Sun-Wei's method (`EE.HSWc`, `EE.HSWm`), and accelerated mean model (`AMM`).


Chiou, S., Xu, G., Yan, J., and Huang, C.-Y. (2017). Semiparametric estimation of the accelerated mean model with panel count data under informative examination times. Biometrics, to appear. <doi: 10.1111/biom.12840>.

Huang, C.-Y., Wang, M., and Zhang, Y. (2006). Analysing panel count data with informative observation times. Biometrika, 93(4), 763--776.

Hu, X. J., Sun, J. and Wei, L. J. (2003). Regression parameter estimation from panel counts. Scandinavian Journal of Statistics, 30, 25--43.

Lu, M., Zhang, Y., and Huang, J. (2007). Estimation of the mean function with panel count data using monotone polynomial splines. Biometrika, 94(3), 705--718.

Sun, J. and Wei, L. J. (2000). Regression analysis of panel count data with covariates-dependent observation and censoring times. Journal of the Royal Statistical Society, Series B: Statistical Methodology, 62(2), 293--302.

Wang, X. and Yan, J. (2011). Fitting semiparametric regressions for panel count survival data with an R package spef. Computer methods and programs in biomedicine 104(2), 278--285.

Wang, X. and Yan, J. (2013). Augmented estimating equations for semiparametric panel count regression with informative observation times and censoring time. Statistica Sinica, 23(1), 359--381.

Zhang, Y. (2002). A Semiparametric pseudolikelihood estimation method for panel count data. Biometrika, 89(1), 39--48.

See also