| msm.summary {msm} | R Documentation |
Summary method for fitted msm models. Currently, this produces a table of observed and
expected state prevalences for each time. For models with covariates, prints
hazard ratios with confidence intervals for covariate effects.
## S3 method for class 'msm': summary(object, times=NULL, timezero=NULL, initstates=NULL, covariates="mean", misccovariates="mean", hazard.scale=1, ...)
object |
A fitted multi-state model object, as returned by
msm. |
times |
A sequence of times at which to compare observed
and expected prevalences of each state. Defaults to
seq(min(times), max(times), (max(times) - min(times))/10).
|
timezero |
Initial time of the Markov process. Expected values are forecasted from here. Defaults to the minimum of the observation times given in the data. |
initstates |
Optional vector of the same length as the number of
states. Gives the numbers of individuals occupying each state at
timezero. The default is that all individuals are in state 1.
|
covariates |
Covariate values for which to forecast expected
state occupancy. See qmatrix.msm. Defaults to the
mean values of the covariates in the data set. |
misccovariates |
(Misclassification models only) Values of covariates on the misclassification probability matrix for which to forecast expected state occupancy. Defaults to the mean values of the covariates in the data set. |
hazard.scale |
Vector with same elements as number of covariates on transition rates. Corresponds to the increase in each covariate used to calculate its hazard ratio. Defaults to all 1. |
... |
further arguments passed to or from other methods |
A list of class summary.msm, with components:
prevalences |
Output from prevalence.msm. |
hazard |
Output from hazard.msm |
hazard.scale |
Value of the hazard.scale argument |
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk
msm,prevalence.msm, hazard.msm