Package: SurvMA 1.6.8

Mengyu Li

SurvMA: Model Averaging Prediction of Personalized Survival Probabilities

Provide methods for model averaging prediction of personalized survival probabilities.

Authors:Mengyu Li [aut, cre], Jie Ding [aut], Xiaoguang Wang [aut]

# Install 'SurvMA' in R:

install.packages('SurvMA', repos = c('https://stat-wangxg.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

RealData.ROT - RealData.ROT: A simulated dataset based on a pre-specified time-varying coefficients Cox model.
SimData.APL - SimData.APL: A simulated dataset based on a pre-specified partly linear additive Cox model.
SimData.TVC - SimData.TVC: A simulated dataset based on a pre-specified time-varying coefficients Cox model.

On CRAN:

Last updated 2 months agofrom:a6a6ac6991. Checks:OK: 7. Indexed: yes.

Help page	Topics
RealData.ROT: A simulated dataset based on a pre-specified time-varying coefficients Cox model.	RealData.ROT
SimData.APL: A simulated dataset based on a pre-specified partly linear additive Cox model.	SimData.APL
SimData.TVC: A simulated dataset based on a pre-specified time-varying coefficients Cox model.	SimData.TVC
SurvMA: Model Averaging Prediction of Personalized Survival Probabilities using R Package SurvMA.	SurvMA
Model averaging prediction of personalized survival probabilities (model fitting)	SurvMA.Fit
Model averaging prediction of personalized survival probabilities (prediction)	SurvMA.Predict