summary.weibull.frailty
(Package: JM) :
Summary Method for weibull.frailty Objects
Summarizes the fit of a Weibull model with Gamma frailties
● Data Source:
CranContrib
● Keywords: methods
● Alias: summary.weibull.frailty
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anova
(Package: JM) :
Anova Method for Fitted Joint Models
Produces marginal Wald tests or Performs a likelihood ratio test between two nested joint models.
● Data Source:
CranContrib
● Keywords: methods
● Alias: anova.jointModel
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simulate
(Package: JM) :
Simulate from Joint Models.
simulate longitudinal responses and event times from joint models
● Data Source:
CranContrib
● Keywords: methods
● Alias: simulate.jointModel, simulateJM
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residuals
(Package: JM) :
Residuals for Joint Models
Calculates residuals for joint models.
● Data Source:
CranContrib
● Keywords: methods
● Alias: residuals.jointModel
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ranef
(Package: JM) :
Random Effects Estimates for Joint Models
Extracts the random effects estimates from a fitted joint model.
● Data Source:
CranContrib
● Keywords: methods
● Alias: ranef.jointModel
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survfitJM
(Package: JM) :
Prediction in Joint Models
This function computes the conditional probability of surviving later times than the last observed time for which a longitudinal measurement was available.
● Data Source:
CranContrib
● Keywords: methods
● Alias: survfitJM, survfitJM.jointModel
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weibull.frailty
(Package: JM) :
Weibull Model with Gamma Frailties
Fits a Weibull model with Gamma frailties for multivariate survival data under maximum likelihood
● Data Source:
CranContrib
● Keywords: multivariate, regression
● Alias: weibull.frailty
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wald.strata
(Package: JM) :
Wald Test for Stratification Factors
It performs a Wald test to test the hypothesis of equal spline coefficients among strata in the approximation of baseline risk function.
● Data Source:
CranContrib
● Keywords: multivariate, regression
● Alias: wald.strata
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predict
(Package: JM) :
Predictions for Joint Models
Calculates predicted values for the longitudinal part of a joint model.
● Data Source:
CranContrib
● Keywords: methods
● Alias: predict.jointModel
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JM
(Package: JM) :
This package fits shared parameter models for the joint modeling of normal longitudinal responses and event times under a maximum likelihood approach. Various options for the survival model and optimization/integration algorithms are provided.
● Data Source:
CranContrib
● Keywords: multivariate, package
● Alias: JM, JM-package
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providing 
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