msm.form.qoutput | R Documentation |
Extract estimates and confidence intervals for transition intensities (or
misclassification probabilities), and their covariate effects, in a tidy
matrix format with one row per transition. This is used by the print method
(print.msm
) for msm
objects. Covariate effects are
returned as hazard or odds ratios, not on the log scale.
msm.form.qoutput(x, covariates = "mean", cl = 0.95, digits = 4, ...)
msm.form.eoutput(x, covariates = "mean", cl = 0.95, digits = 4, ...)
x |
A fitted multi-state model object, as returned by
|
covariates |
Covariate values defining the "baseline" parameters (see
|
cl |
Width of the symmetric confidence interval to present. Defaults to 0.95. |
digits |
Minimum number of significant digits for the formatted
character matrix returned as an attribute. This is passed to
|
... |
Other arguments to be passed to |
A numeric matrix with one row per transition, and one column for
each estimate or confidence limit. The "formatted"
attribute
contains the same results formatted for pretty printing.
msm.form.qoutput
returns the transition intensities and their
covariates, and msm.form.eoutput
returns the misclassification
probabilities and their covariates.
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk
print.msm
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