pssm (version 1.1.1)

pssm-class: Class "pssm"

Description

This class fits a joint piecewise exponential model to interval censored progression data followed by death as well as a piecewise exponential model to interval censored progression data without subsequent death data or to right censored survival data. It produces a pssm object.

Objects from the Class

Objects can be created by calls of the form ps=pssm(...) See:pssm.object

Slots

call:

Object of class "call"

convergence:

Object of class "numeric" Integer which is zero if algorythm converged

loglike:

object of class "function" log-likelihood function

estimates:

Numeric vector of estimated parameters,first are m*(m+1)/2 parameters for the time from progression to death(if (prog,death) then ,(1,1),(1,2)..,(2,1)...), followed by m time to progression estimators followed by the covariate coefficients for time to progression and the covariate coefficients from time to progression to death, hazards are log transformed

se.estimates:

Object of class "numeric" Numeric vector of standard errors of the estimated parameters

covariance.estimates:

Object of class "matrix" Variance covariance matrix of estimates

estimates.progression:

Object of class "numeric" Covariate coefficients for the time to progression covariates

se.estimates.progression:

Object of class "numeric"Standard Errors of the above estimates

estimates.survival:

Object of class "numeric" Covariate coefficients for the time from progression to death covariates

se.estimates.survival:

Object of class "numeric"Standard Errors of the above estimates

hazard.progression:

Object of class "numeric"Log-hazard of progression

hazard.survival:

Object of class "numeric"Log-hazard of survival after progression

intervals:

Object of class "integer"Number of intervals used in estimation

rescale:

Object of class "numeric" Constant that was used to rescale data before estimation

formula.progression:

Object of class "formula"

formula.survival:

Object of class "formula"

progression.covariate.list:

Object of class "character"

survival.covariate.list:

Object of class "character"

message:

Object of class "character" Message from program

Methods

plot

signature(x = "pssm"): ... See plot-methods

print

signature(x = "pssm"):

summary

signature(object = "pssm"): Creates summary object with covariate effects

See Also

pssm-package, pssm.generate.data, pssm, pssm.simulate, pssm.survivalcurv, plot-methods, pssm.power

Examples

# NOT RUN {
showClass("pssm")
# }