PCDSpline: Semiparametric regression analysis of panel count data using monotone splines

Share:

Semiparametric regression analysis of panel count data under the non-homogeneous Poisson process model with and without Gamma frailty using monotone splines.

Author
Bin Yao <yaob@email.sc.edu> and Lianming Wang <wangl@stat.sc.edu>
Date of publication
2014-06-13 18:18:27
Maintainer
Bin Yao <yaob@email.sc.edu>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

BladTumor
Bladder Tumor Cancer Data
BladTumor1
Converted Bladder Tumor Cancer Data
Ispline
Ispline
PCDHess.wf
Calculating the Hessian matrix using Louis's method (1982)
PCDReg.nf
Regression analysis of panel count data under the...
PCDReg.wf
Regression analysis of panel count data under the Gamma...
PCDSpline-package
A statistical package for regression analysis of panel count...

Files in this package

PCDSpline
PCDSpline/NAMESPACE
PCDSpline/data
PCDSpline/data/BladTumor.rda
PCDSpline/data/BladTumor1.rda
PCDSpline/R
PCDSpline/R/PCD.Corr.R
PCDSpline/R/PCDReg.nf.r
PCDSpline/R/PCDReg.wf.r
PCDSpline/R/PCDHess.wf.r
PCDSpline/R/Ispline.r
PCDSpline/MD5
PCDSpline/DESCRIPTION
PCDSpline/man
PCDSpline/man/PCDReg.nf.Rd
PCDSpline/man/PCDSpline-package.Rd
PCDSpline/man/BladTumor1.Rd
PCDSpline/man/BladTumor.Rd
PCDSpline/man/PCD.Corr.rd
PCDSpline/man/PCDHess.wf.Rd
PCDSpline/man/PCDReg.wf.Rd
PCDSpline/man/Ispline.Rd