survidm

Inference and Prediction in an Illness-Death Model

Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.

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Description file content

Package
survidm
Type
Package
Title
Inference and Prediction in an Illness-Death Model
Version
1.0.0
Date
2017-10-11
Author
Luis Meira-Machado and Marta Sestelo
Maintainer
Marta Sestelo
Description
Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.
Depends
R (>= 3.0.0)
Encoding
UTF-8
License
GPL-3
LazyData
true
Imports
KernSmooth, np, survival, doParallel, parallel, doRNG, foreach, TPmsm
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2017-10-11 15:33:42 UTC; Sestelo
Repository
CRAN
Date/Publication
2017-10-11 15:46:53 UTC

install.packages('survidm')

1.0.0

9 days ago

Marta Sestelo

GPL-3

Depends on

R (>= 3.0.0)

Imports

KernSmooth, np, survival, doParallel, parallel, doRNG, foreach, TPmsm

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