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To cite the IHSEP package, please use:

Chen F (2011). “Maximum Local Partial Likelihood Estimators for the Counting Process Intensity Function and Its Derivatives.” Statistica Sinica, 21(1), 107-128.

Chen F, Huggins RM, Yip PSF, Lam KF (2008). “Nonparametric estimation of multiplicative counting process intensity functions with an application to the Beijing SARS epidemic.” Communications in Statistics - Theory and Methods, 37(2), 294-306.

Chen F, Yip PSF, Lam KF (2011). “On the Local Polynomial Estimators of the Counting Process Intensity Function and its Derivatives.” Scandinavian Journal of Statistics, 38(4), 631-649.

Chen F (2022). lpint: Local Polynomial Estimators of Intensity Function or Its Derivatives. R package version 2.1, https://cran.r-project.org/package=lpint.

Corresponding BibTeX entries:

  @Article{,
    title = {Maximum Local Partial Likelihood Estimators for the
      Counting Process Intensity Function and Its Derivatives},
    journal = {Statistica Sinica},
    volume = {21},
    number = {1},
    pages = {107-128},
    year = {2011},
    author = {Feng Chen},
  }
  @Article{,
    title = {Nonparametric estimation of multiplicative counting
      process intensity functions with an application to the Beijing
      SARS epidemic},
    journal = {Communications in Statistics - Theory and Methods},
    volume = {37},
    number = {2},
    pages = {294-306},
    year = {2008},
    author = {Feng Chen and Richard M. Huggins and Paul S. F. Yip and
      K. F. Lam},
  }
  @Article{,
    title = {On the Local Polynomial Estimators of the Counting Process
      Intensity Function and its Derivatives},
    journal = {Scandinavian Journal of Statistics},
    volume = {38},
    number = {4},
    pages = {631-649},
    year = {2011},
    author = {Feng Chen and Paul S. F. Yip and K. F. Lam},
  }
  @Manual{,
    title = {lpint: Local Polynomial Estimators of Intensity Function
      or Its Derivatives},
    year = {2022},
    author = {Feng Chen},
    url = {https://cran.r-project.org/package=lpint},
    note = {R package version 2.1},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.