frailtypack-package |
General Frailty models: shared, joint and nested frailty models with prediction |
additivePenal |
Fit an Additive Frailty model using a semiparametric penalized likelihood estimation or a parametric estimation |
bcos |
Breast Cosmesis Data |
CbootstrapFP |
Concordance measures in shared frailty and Cox proportional hazard models |
cindexes |
Concordance measures in shared frailty and Cox proportional hazard models |
cindexes.B |
Concordance measures in shared frailty and Cox proportional hazard models |
cindexes.frailty |
Concordance measures in shared frailty and Cox proportional hazard models |
cindexes.W |
Concordance measures in shared frailty and Cox proportional hazard models |
cluster |
Identify clusters |
Cmeasures |
Concordance measures in shared frailty and Cox proportional hazard models |
colorectal |
Follow-up of metastatic colorectal cancer patients: times of new lesions appearance and death |
colorectalLongi |
Follow-up of metastatic colorectal cancer patients : longitudinal measurements of tumor size |
dataAdditive |
Simulated data as a gathering of clinical trials databases |
dataMultiv |
Simulated data for two types of recurrent events and a terminal event |
dataNested |
Simulated data with two levels of grouping |
Diffepoce |
Difference of Expected Prognostic Observed Cross-Entropy (EPOCE) estimators and its 95% tracking interval between two joint models. |
epoce |
Estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE) for evaluating predictive accuracy of joint models. |
event2 |
Identify event2 indicator |
factor.names |
Fit a Shared, Joint or Nested Frailty model |
frailtypack |
General Frailty models: shared, joint and nested frailty models with prediction |
frailtyPenal |
Fit a Shared, Joint or Nested Frailty model |
hazard |
Hazard function. |
lines.additivePenal |
Plot Method for an Additive frailty model. |
lines.frailtyPenal |
Plot Method for a Shared frailty model. |
lines.jointNestedPenal |
Plot method for a joint nested frailty model. |
lines.jointPenal |
Plot Method for a Joint frailty model. |
lines.longiPenal |
Plot Method for a joint model for longitudinal data and a terminal event. |
lines.nestedPenal |
Plot Method for a Nested frailty model. |
lines.trivPenal |
Plot Method for a trivariate joint model for longitudinal data, recurrent events and a terminal event. |
lines.trivPenalNL |
Plot Method for a Non-Linear Trivariate Joint Model for Recurrent Events and a Terminal Event with a Biomarker Described with an ODE. |
longiPenal |
Fit a Joint Model for Longitudinal Data and a Terminal Event |
multivPenal |
Fit a multivariate frailty model for two types of recurrent events and a terminal event. |
multivPenal for multivariate frailty model |
Fit a multivariate frailty model for two types of recurrent events and a terminal event. |
num.id |
Identify individuals in Joint model for clustered data |
plot.additivePenal |
Plot Method for an Additive frailty model. |
plot.Diffepoce |
Plot difference of EPOCE estimators between two joint frailty models. |
plot.epoce |
Plot values of estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE). |
plot.frailtyPenal |
Plot Method for a Shared frailty model. |
plot.jointNestedPenal |
Plot method for a joint nested frailty model. |
plot.jointPenal |
Plot Method for a Joint frailty model. |
plot.longiPenal |
Plot Method for a joint model for longitudinal data and a terminal event. |
plot.multivPenal |
Plot Method for a multivariate frailty model. |
plot.nestedPenal |
Plot Method for a Nested frailty model. |
plot.predFrailty |
Plot predictions using a Cox or a shared frailty model. |
plot.predJoint |
Plot predictions using a joint frailty model. |
plot.predLongi |
Plot predictions using a joint model for longitudinal data and a terminal event or a trivariate joint model for longitudinal data, recurrent events and a terminal event. |
plot.trivPenal |
Plot Method for a trivariate joint model for longitudinal data, recurrent events and a terminal event. |
plot.trivPenalNL |
Plot Method for a Non-Linear Trivariate Joint Model for Recurrent Events and a Terminal Event with a Biomarker Described with an ODE. |
prediction |
Prediction probabilities for Cox proportional hazard, Shared, Joint frailty models, Joint models for longitudinal data and a terminal event and Trivariate joint model for longitudinal data, recurrent events and a terminal event (linear and non-linear). |
print.additivePenal |
Print a Short Summary of parameter estimates of an additive frailty model |
print.Cmeasures |
Print a short summary of results of Cmeasure function. |
print.frailtyPenal |
Print a Short Summary of parameter estimates of a shared frailty model |
print.jointNestedPenal |
Print a Short Summary of parameter estimates of a joint nested frailty model |
print.jointPenal |
Print a Short Summary of parameter estimates of a joint frailty model |
print.longiPenal |
Print a Summary of parameter estimates of a joint model for longitudinal data and a terminal event |
print.multivPenal |
Print a Short Summary of parameter estimates of a multivariate frailty model |
print.nestedPenal |
Print a Short Summary of parameter estimates of a nested frailty model |
print.predFrailty |
Print a short summary of results of prediction function. |
print.predJoint |
Print a short summary of results of prediction function. |
print.predLongi |
Print a short summary of results of prediction function. |
print.summary.additivePenal |
summary of parameter estimates of an additive frailty model |
print.summary.frailtyPenal |
summary of parameter estimates of a shared frailty model |
print.summary.jointNestedPenal |
summary of parameter estimates of a joint nested frailty model |
print.summary.jointPenal |
summary of parameter estimates of a joint frailty model |
print.summary.longiPenal |
Short summary of fixed covariates estimates of a joint model for longitudinal data and a terminal event |
print.summary.nestedPenal |
summary of regression coefficient estimates of a nested frailty model |
print.summary.trivPenal |
Short summary of fixed covariates estimates of a joint model for longitudinal data, recurrent events and a terminal event |
print.summary.trivPenalNL |
Short summary of fixed covariates estimates of a non-linear trivariate joint model for longitudinal data, recurrent events and a terminal event |
print.trivPenal |
Print a Summary of parameter estimates of a joint model for longitudinal data, recurrent events and a terminal event |
print.trivPenalNL |
Print a Summary of parameter estimates of a non-linear trivariate joint model for longitudinal data, recurrent events and a terminal event |
readmission |
Rehospitalization colorectal cancer |
slope |
Identify variable associated with the random slope |
statFP |
Concordance measures in shared frailty and Cox proportional hazard models |
subcluster |
Identify subclusters |
summary.additivePenal |
summary of parameter estimates of an additive frailty model |
summary.frailtyPenal |
summary of parameter estimates of a shared frailty model |
summary.jointNestedPenal |
summary of parameter estimates of a joint nested frailty model |
summary.jointPenal |
summary of parameter estimates of a joint frailty model |
summary.longiPenal |
Short summary of fixed covariates estimates of a joint model for longitudinal data and a terminal event |
summary.multivPenal |
summary of parameter estimates of a multivariate frailty model. |
summary.nestedPenal |
summary of regression coefficient estimates of a nested frailty model |
summary.trivPenal |
Short summary of fixed covariates estimates of a joint model for longitudinal data, recurrent events and a terminal event |
summary.trivPenalNL |
Short summary of fixed covariates estimates of a non-linear trivariate joint model for longitudinal data, recurrent events and a terminal event |
SurvIC |
Create a survival object for interval censoring and possibly left truncated data |
survival |
Survival function |
terminal |
Identify terminal indicator |
timedep |
Identify time-varying effects |
timedep.names |
Fit a Shared, Joint or Nested Frailty model |
transfo.table |
Fit a multivariate frailty model for two types of recurrent events and a terminal event. |
trivPenal |
Fit a Trivariate Joint Model for Longitudinal Data, Recurrent Events and a Terminal Event |
trivPenalNL |
Fit a Non-Linear Trivariate Joint Model for Recurrent Events and a Terminal Event with a Biomarker Described with an ODE Population Model |
waldtest |
Fit a Shared, Joint or Nested Frailty model |