PCDSpline-package: A statistical package for regression analysis of panel count...
In PCDSpline: Semiparametric regression analysis of panel count data using monotone splines
Description
This package allows for semiparametric regression analysis of panel count data under the non-homogeneous Poisson process models with and without frailty. The Gamma frailty model allows to account for the within-subject correlation. Monotone splines of Ramsay (1988) are used to estimate the unknown baseline mean function. Fitting the models to panel count data via EM algorithm.
Details
Package: PCDSpline
Type: Package
Version: 1.0
Date: 2014-06-13
License: GPL (>= 2)
Author(s)
Bin Yao <yaob@email.sc.edu> and Lianming Wang <wangl@stat.sc.edu>
PCDSpline documentation built on May 2, 2019, 5:14 a.m.
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Description
This package allows for semiparametric regression analysis of panel count data under the non-homogeneous Poisson process models with and without frailty. The Gamma frailty model allows to account for the within-subject correlation. Monotone splines of Ramsay (1988) are used to estimate the unknown baseline mean function. Fitting the models to panel count data via EM algorithm.
Details
| Package: | PCDSpline |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2014-06-13 |
| License: | GPL (>= 2) |
Author(s)
Bin Yao <yaob@email.sc.edu> and Lianming Wang <wangl@stat.sc.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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