• frailtypack

  • Referenced in 43 articles [sw06070]
  • frailtypack: General Frailty models using a semi_parametric penalized likelihood estimation or a parametric estimation ... Frailtypack now fits several classes of frailty models using a penalized likelihood estimation ... parametric estimation. 1) A shared gamma frailty model and Cox proportional hazard model. Clustered ... approximated cross-validation procedure. 2) Additive frailty models for proportional hazard models with two correlated...
  • timereg

  • Referenced in 82 articles [sw08068]
  • risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model...
  • parfm

  • Referenced in 12 articles [sw19053]
  • parfm: Parametric Frailty Models in R. Frailty models are getting more and more popular ... available software that deals with the parametric frailty model. The new parfm package remedies that ... providing a wide range of parametric frailty models in R. The gamma, inverse Gaussian ... positive stable frailty distributions can be specified, together with five different baseline hazards. Parameter estimation...
  • frailtyHL

  • Referenced in 10 articles [sw19049]
  • package frailtyHL: Frailty Models via H-likelihood. The frailtyHL package implements the h-likelihood estimation ... procedures for frailty models. The package fits Cox’s proportional hazards models with random effects ... frailties). For the frailty distribution lognormal and gamma are allowed. The h-likelihood uses ... intractable, giving a statistically efficient estimation in frailty models...
  • coxme

  • Referenced in 13 articles [sw19055]
  • containing Gaussian random effects, also known as frailty models...
  • spBayesSurv

  • Referenced in 9 articles [sw16371]
  • proportional hazards models, generalized accelerated failure time frailty models, and standard semiparametric frailty models within...
  • streg

  • Referenced in 4 articles [sw37360]
  • Parametric frailty and shared frailty survival models. Frailty models are the survival data analog ... account for heterogeneity and random effects. A frailty is a latent multiplicative effect ... along with the other model parameters. A frailty model is an heterogeneity model where ... frailties are assumed to be individual- or spell-specific. A shared frailty model...
  • frailtyEM

  • Referenced in 5 articles [sw19525]
  • package frailtyEM. Fitting Frailty Models with the EM Algorithm. Contains functions for fitting shared frailty ... time or Andersen-Gill format. Several frailty distributions, such as the the gamma, positive stable...
  • joint.Cox

  • Referenced in 8 articles [sw15793]
  • regression and dynamic prediction under the joint frailty-copula model between tumour progression and death...
  • frailtySurv

  • Referenced in 4 articles [sw19047]
  • General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv. The R package frailtySurv ... simulating and fitting semi-parametric shared frailty models is introduced. frailtySurv implements semi-parametric consistent ... estimators for a variety of frailty distributions, including gamma, log-normal, inverse Gaussian and power...
  • spgam1

  • Referenced in 6 articles [sw27802]
  • algorithm for semiparametric conditional shared gamma frailty models described in Vu, Segal, Knuiman and James...
  • rstpm2

  • Referenced in 5 articles [sw17075]
  • left truncation, right censoring, interval censoring, gamma frailties and normal random effects...
  • frailtyGAFT

  • Referenced in 2 articles [sw20920]
  • function frailtyGAFT. Generalized Accelerated Failure Time Frailty Model. This function fits a generalized accelerated failure ... time frailty model for clustered and/or areal-level time-to-event data...
  • fergm

  • Referenced in 1 article [sw38223]
  • package fergm: Estimation and Fit Assessment of Frailty Exponential Random Graph Models. Frailty Exponential Random ... Graph Models estimated through pseudo likelihood with frailty terms estimated using ’Stan ... /DVN/K3D1M2>. Goodness of fit for Frailty Exponential Random Graph Models is also available, with easy...
  • MST

  • Referenced in 2 articles [sw19054]
  • multivariate survival data using marginal and frailty models...
  • pgmhaz

  • Referenced in 2 articles [sw37401]
  • distribution to summarize unobserved individual heterogeneity (or “frailty”). Covari- ates may include regressor variables summarizing...
  • intercure

  • Referenced in 1 article [sw25583]
  • based on the promotion time and frailty models, all for interval censoring. For the frailty...
  • reReg

  • Referenced in 1 article [sw38297]
  • modeling framework is based on a joint frailty scale-change model, that includes models described ... require any parametric assumption on the frailty distribution. The package also allows the users...
  • survrec

  • Referenced in 1 article [sw15914]
  • estimators and MLE estimation under a Gamma Frailty model...
  • SimSCRPiecewise

  • Referenced in 1 article [sw16059]
  • given patient covariates, regression parameters, patient frailties and baseline hazard functions...