Description Objects from the Class Slots Methods Author(s) See Also Examples
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 can be created by calls of the form ps=pssm(...)
See:pssm.object
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
signature(x = "pssm")
: ...
See plot-methods
signature(x = "pssm")
:
signature(object = "pssm")
: Creates summary object with covariate effects
David A. Schoenfed
pssm-package
,
pssm.generate.data
,
pssm
,
pssm.simulate
,
pssm.survivalcurv
,
plot-methods
,
pssm.power
1 | showClass("pssm")
|
Class "pssm" [package "pssm"]
Slots:
Name: call convergence
Class: call numeric
Name: loglike estimates
Class: function numeric
Name: se.estimates covariance.estimates
Class: numeric matrix
Name: estimates.progression se.estimates.progression
Class: numeric numeric
Name: estimates.survival se.estimates.survival
Class: numeric numeric
Name: hazard.progression hazard.survival
Class: numeric numeric
Name: intervals rescale
Class: integer numeric
Name: formula.progression formula.survival
Class: formula formula
Name: progression.covariate.list survival.covariate.list
Class: character character
Name: message
Class: character
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