For a given vector of times, the function computes the hazard rates values of an object of class semiMarkov or param.init (which provided the hazard rates). Both, values of hazard rate of waiting time of semi-Markov process can be obtained.
● Data Source:
CranContrib
● Keywords:
● Alias: hazard
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Summary method for objects of class hazard.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.hazard
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Print method for objects of class hazard.
● Data Source:
CranContrib
● Keywords: documentation
● Alias: print.hazard
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Function returning a table with numbers of transitions between two states observed in the data set. This table can be a used to summarize a multi-state data or to define the matrix mtrans required in the semiMarkov function.
● Data Source:
CranContrib
● Keywords: documentation
● Alias: table.state
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Function defining initial values of parameters of the waiting time distributions, probabilities of the Markov chain and optional regression coefficients associated with covariates. The function can either provides the default initial values (the same as those considered in the function semiMarkov) or can be used to specify particular initial values.
● Data Source:
CranContrib
● Keywords: documentation
● Alias: param.init
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Summary method for objects of class semiMarkov.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.semiMarkov
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Print method for objects of class semiMarkov.
● Data Source:
CranContrib
● Keywords:
● Alias: print.semiMarkov
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This function computes the parametric maximum likelihood estimation in multi-state semi-Markov models in continuous-time. The effect of time varying or fixed covariates can be studied using a proportional intensities model for the hazard of the sojourn time.
● Data Source:
CranContrib
● Keywords:
● Alias: semiMarkov
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Plot method for one or several (maximum 10) objects of class hazard. Depending on the hazard rate chosen in the function hazard, the function plots either the hazard rates of sojourn times or the semi-Markov process hazard rate for each considered transition (one plot for each transition).
● Data Source:
CranContrib
● Keywords: documentation
● Alias: plot.hazard
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providing 
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