JPSurv: Methods for population-based cancer survival analysis

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Functions, methods, and datasets for cancer survival analysis, including the proportional hazard relative survival model, the join point relative survival model.

Author
Yongwu Shao <ywshao@gmail.com>,
Date of publication
2012-03-07 07:11:25
Maintainer
Yongwu Shao <ywshao@gmail.com>
License
GPL (>= 2)
Version
1.0.1
URLs

View on CRAN

Man pages

aapc
Trend summary measures for joint point relative survival...
CoxFit
Fitting a proportional hazard relative survival model
CoxModel_Year
Fitting a proportional hazard relative survival model with...
joinpoint
Fitting a join point relative survival model
predict.joinpoint
Predict method for join point models
prostate
Life Table for the Prostate Cancer
read.seerstat
Reading a SEER*Stat dataset

Files in this package

JPSurv
JPSurv/MD5
JPSurv/R
JPSurv/R/read.seerstat.R
JPSurv/R/CoxFit.R
JPSurv/R/aapc.R
JPSurv/NAMESPACE
JPSurv/man
JPSurv/man/read.seerstat.Rd
JPSurv/man/prostate.Rd
JPSurv/man/predict.joinpoint.Rd
JPSurv/man/joinpoint.Rd
JPSurv/man/CoxModel_Year.Rd
JPSurv/man/CoxFit.Rd
JPSurv/man/aapc.Rd
JPSurv/DESCRIPTION
JPSurv/data
JPSurv/data/prostate.rda