• msm

  • Referenced in 53 articles [sw08096]
  • package msm: Multi-state Markov and hidden Markov models in continuous time. Functions for fitting ... continuous-time Markov and hidden Markov multi-state models to longitudinal data. A variety...
  • mstate

  • Referenced in 32 articles [sw04376]
  • Data preparation, estimation and prediction in multi-state models , Functions for data preparation, descriptives, hazard ... simulation in competing risks and multi-state models...
  • flexsurv

  • Referenced in 20 articles [sw15470]
  • package flexsurv: Flexible Parametric Survival and Multi-State Models. Flexible parametric models for time ... event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions ... fitting and predicting from fully parametric multi-state models...
  • REVEAL

  • Referenced in 28 articles [sw36999]
  • this possibility using binary models of genetic networks. Trajectories, or state transition tables of Boolean ... mutual information between input states and output states, one is able to infer the sets ... element), the analysis of incomplete state transition tables (100 state transition pairs ... algorithm is generalizable to include multi-state models, essentially allowing direct application to realistic biological...
  • tdc.msm

  • Referenced in 6 articles [sw22607]
  • time-dependent regression model and multi-state models are included as two possible approaches ... such data. For the multi-state modelling five different models are considered, allowing the user ... multi-state models in continuous time were implemented: Cox Markov model; Cox semi-Markov model ... software can be used to fit multi-state models with one initial state (e.g., illness...
  • SemiMarkov

  • Referenced in 6 articles [sw22606]
  • package SemiMarkov: Multi-States Semi-Markov Models. Functions for fitting multi-state semi-Markov models...
  • changelos

  • Referenced in 6 articles [sw15072]
  • however, there is few software for such models available. We introduce an R-package ”changeLOS ... methods to: (1) describe the multi-state model. (2) compute the Aalen-Johansen estimator...
  • TPmsm

  • Referenced in 4 articles [sw22603]
  • major goal in clinical applications of multi-state models is the estimation of transition probabilities...
  • NestedCompRisks

  • Referenced in 1 article [sw36437]
  • evaluate the predictive accuracy of semiparametric multi-state models in the presence of competing risks ... complexity of such programmes. Multi-state regression models taking competing risks into account ... approaches. In this work, multi-state structured additive regression (STAR) models combined with penalized splines ... previous renal replacement therapy. Such multi-state model was composed of one transient state (peritonitis...
  • penMSM

  • Referenced in 1 article [sw40996]
  • package penMSM: Estimating Regularized Multi-state Models Using L1 Penalties. Structured fusion Lasso penalized estimation ... multi-state models with the penalty applied to absolute effects and absolute effect differences...
  • ebmstate

  • Referenced in 1 article [sw40995]
  • package ebmstate: Empirical Bayes Multi-State Cox Model. Implements an empirical Bayes, multi-state...
  • MARKOV

  • Referenced in 1 article [sw22809]
  • MARKOV: a computer program for multi-state Markov models with covariables. This paper discusses ... MARKOV, designed to fit a multi-state Markov model with covariables, with a particular emphasis...
  • epiPOMS

  • Referenced in 1 article [sw41421]
  • considered are discrete-time individual based multi-state models describing the transmission dynamics...
  • simMSM

  • Referenced in 1 article [sw25137]
  • simMSM: Simulation of Event Histories for Multi-State Models. Simulation of event histories with possibly...
  • AHR

  • Referenced in 1 article [sw16583]
  • transition probabilities in Markov multi-state models. Right-censored and left-truncated data is supported...
  • SMM

  • Referenced in 1 article [sw22604]
  • Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models. Performs parametric ... parametric estimation and simulation for multi-state discrete-time semi-Markov processes. For the parametric...
  • U-CARE

  • Referenced in 6 articles [sw11779]
  • state data; Jolly-Move and variants for multi-state data). U-CARE implements the current...
  • genSurv

  • Referenced in 1 article [sw25136]
  • package genSurv: Generating Multi-State Survival Data. Generation of survival data with one (binary) time ... data arising from a progressive illness-death model...
  • SPhyR

  • Referenced in 3 articles [sw34136]
  • cancer, SPhyR employs the k-Dollo evolutionary model, where a mutation can only be gained ... connection to the cladistic multi-state perfect phylogeny problem. SPhyR outperforms existing methods on simulated...
  • SiMRiv

  • Referenced in 1 article [sw15872]
  • individual-based spatially-explicit simulations of multi-state movements in heterogeneous landscapes, based on ”resistance ... trajectories can then be used as null models to test e.g. for species site fidelity...