summary.semiMarkov: Summary method for objects of class 'semiMarkov'

In SemiMarkov: Multi-States Semi-Markov Models

Description

Summary method for objects of class semiMarkov.

Usage

## S3 method for class 'semiMarkov'
summary(object, all = TRUE, transitions = NULL, ...)

Arguments

object	An object of class semiMarkov.
all	A logical value indicating if the results should be displayed for all the possible transitions. If set to FALSE, the transitions to be displayed must be specified using the argument transitions. Default is TRUE.
transitions	A vector of characters specifying the transitions to be displayed when the argument all is set to FALSE.
...	Further arguments for summary.

Value

A list of data frames giving

Transition_matrix	A matrix containing the informations on the model definition : the possible transitions and the distribution of waiting times for each transition (Exponential, Weibull or Exponentiated Weibull).
param.init	Recall the initial values of the parameters. The third column of this object can be used in hazard function.
table.state	A table, with starting states as rows and arrival states as columns, which provides the number of observed transitions between two states. This argument can be used to quickly summarize multi-state data.
Ncens	Number of individuals subjected to censoring.

table.param

List of data frames (one for each transition). A data frame includes, for each parameter (distribution parameters, the transition probabilities and the regression coefficients), the estimation, the standard deviation, the lower and upper bounds of confidence interval, the Wald test statistic and Wald test p-value (for the distribution parameters and the regression coefficients).

Author(s)

Agnieszka Listwon-Krol

See Also

semiMarkov, print.semiMarkov

SemiMarkov documentation built on July 2, 2019, 5:03 p.m.