pseudo: Pseudo-observations for predictions for an illness-death...

In camsabathe/pseudoICD: Pseudo-observations for interval-censored data from an illness-death model

Description

Computes pseudo-observations for modeling covariates effects on differents quantites of an illness-death model.

Usage

pseudo(object, t, lifeExpect, parallel = FALSE, cpus = NULL, type = NULL,
  ...)

Arguments

object	an idmloo class object returned by a call to the idmloo function
t	time horizon for prediction
lifeExpect	logical. if TRUE conmpute life expectancies, i.e., t=Inf
parallel	Logical determinating parallel (=TRUE) or sequential (=FALSE) execution
cpus	Numerical amount of CPUs requested for the cluster. If not set, values are total cores of the machines-1.
type	Type of cluster. Can be 'SOCK', 'MPI', 'PVM' or 'NWS'. Default is 'SOCK' if parallel=TRUE.
...	others parameters
maxtime	The upper limit of integration for calculations of life expectancies from Weibull parametrizations.

Value

pseudo a matrix with each row corresponding to the pseudo-observations of one individual (ordered as in the the original data set), each column presents the predicted quantities

Examples

pseudo.t10=pseudo(fit.loo.w, t=10,lifeExpect=FALSE, parallel = FALSE, cpus=NULL, type=NULL)

camsabathe/pseudoICD documentation built on Nov. 11, 2019, 5:27 p.m.