Description Usage Arguments Value Examples
Computes pseudo-observations for modeling covariates effects on differents quantites of an illness-death model.
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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. |
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
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