R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 10 found.
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PosteriorProbabilities (Package: gems) : Class code{"PosteriorProbabilities"

This S4 class summarizes the posterior probabilities over time for objects of class "ArtCohort"

● Data Source: CranContrib
● Keywords: classes
● Alias: PosteriorProbabilities, PosteriorProbabilities-class, [,PosteriorProbabilities,ANY,ANY,ANY-method, [,PosteriorProbabilities-method, [.PosteriorProbabilities, head,PosteriorProbabilities-method, head.PosteriorProbabilities, plot,PosteriorProbabilities-method, plot.PosteriorProbabilities, tail,PosteriorProbabilities-method, tail.PosteriorProbabilities
● 0 images

gems (Package: gems) : gems: Generalized Multistate Simulation Model

Simulate and analyze multistate models with general hazard functions. gems provides functionality for the preparation of hazard functions and parameters, simulation from a general multistate model and predicting future events. The multistate model is not required to be a Markov model and may take the history of previous events into account. In the basic version, it allows to simulate from transition-specific hazard function, whose parameters are multivariable normally distributed.

● Data Source: CranContrib
● Keywords:
● Alias: gems, gems-package
● 0 images

transitionProbabilities (Package: gems) : transition probabilities

Calculates the probabilities and prediction intervals after first state

● Data Source: CranContrib
● Keywords: utilities
● Alias: transitionProbabilities
● 0 images

generateParameterMatrix (Package: gems) : generate a template for mean parameters

This function simplifies generating the matrix of mean parameters from a matrix of transition functions.

● Data Source: CranContrib
● Keywords: utilities
● Alias: generateParameterMatrix
● 0 images

generateHazardMatrix (Package: gems) : generate template for transition functions

This function simplifies generating the matrix of transition functions.

● Data Source: CranContrib
● Keywords: utilities
● Alias: generateHazardMatrix
● 0 images

transition.structure (Package: gems) : Class code{"transition.structure"

This S4 class provides a structure to specify different characteristics of transitions, such as transition functions functions, parameters or parameter covariances.

● Data Source: CranContrib
● Keywords: classes
● Alias: [[,transition.structure-method, [[.transition.structure, [[<-,transition.structure-method, [[<-.transition.structure, possibleTransitions, possibleTransitions,transition.structure-method, print,transition.structure-method, print.transition.structure, transition.structure, transition.structure-class
● 0 images

generateParameterCovarianceMatrix (Package: gems) : generate a template for parameter covariances

This function simplifies generating the matrix of parameter covariances from a matrix of mean parameters.

● Data Source: CranContrib
● Keywords: utilities
● Alias: generateParameterCovarianceMatrix
● 0 images

ArtCohort (Package: gems) : Class code{"ArtCohort"

Is a S4 class for the artificial cohort generated by simulateCohort.

● Data Source: CranContrib
● Keywords: classes
● Alias: ArtCohort, ArtCohort-class, [,ArtCohort,ANY,ANY,ANY-method, [,ArtCohort-method, [.ArtCohort, head,ArtCohort-method, head.ArtCohort, summary,ArtCohort-method, summary.ArtCohort, tail,ArtCohort-method, tail.ArtCohort, update,ArtCohort-method, update.ArtCohort
● 0 images

simulateCohort (Package: gems) : Simulate cohort

Simulates a cohort of patients from a set of functions associated to each possible transition in a multistate model. The multistate model is not required to be a Markov model and may take the history of previous events into account. In the basic version, it allows to simulate from transition-specific hazard function, whose parameters are multivariable normally distributed. For each state, all transition-specific hazard functions and their parameters need to be specified. For simulating one transition, all possible event times are simulated and the minimum is chosen. Then simulation continues from the corresponding state until an absorbing state of time to is reached.

● Data Source: CranContrib
● Keywords: function, main
● Alias: simulateCohort
● 0 images

cumulativeIncidence (Package: gems) : transition probabilities

Calculates the cumulative incidence and prediction intervals after first state

● Data Source: CranContrib
● Keywords: utilities
● Alias: cumulativeIncidence
● 0 images