lpsmc.object: Objects related to lpsmc routine.

In oswaldogressani/mixcurelps: Approximate Bayesian Inference in Mixture Cure Models

Objects related to lpsmc routine.

Description

A list of objects resulting from the lpsmc routine.

Value

X	The matrix of covariates in the incidence part (including an intercept). As the model includes an intercept, the first column corresponds to a column of ones.
Z	The matrix of covariates in the latency part.
latenthat	The vector of estimated latent variables. This includes the vector of B-spline coefficients, the regression coefficients of the incidence part and latency part respectively.
thetahat	The vector of estimated B-spline coefficients.
betahat	The vector of estimated coefficients in the incidence part.
gammahat	The vector of estimated coefficents in the latency part.
vhat	The (approximate) posterior maximum for the penalty parameter (in log scale).
tu	The largest observed follow-up time.
ftime	The vector of observed survival times.
penorder	The chosen penalty order for P-splines.
K	The number of B-spline coefficients.
p	The number of regression in the incidence part (including intercept).
q	The number of regression coefficients in the latency part.
xmean	The mean covariate vector for the incidence part.
px	The logistic link function
cumult	A function required to compute the estimated baseline survival
CI90	The (approximate) 90 coefficients in the incidence and latency part.
CI95	The (approximate) 95 coefficients in the incidence and latency part.
CIcure90	The (approximate) 90 cure rate (at the mean covariate profile).
CIcure95	The (approximate) 95 cure rate (at the mean covariate profile).
CIincid90	The (approximate) 90 incidence rate (at the mean covariate profile).
CIincid95	The (approximate) 95 incidence rate (at the mean covariate profile).

Author(s)

Oswaldo Gressani [e-mail] .

See Also

lpsmc.

oswaldogressani/mixcurelps documentation built on Oct. 30, 2024, 10:45 p.m.