R: Extract msm model parameter estimates in compact format

msm.form.qoutput {msm} | R Documentation

## Extract msm model parameter estimates in compact format

### Description

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.

### Usage

    msm.form.qoutput(x, covariates="mean", cl=0.95, digits=4, ...)
    msm.form.eoutput(x, covariates="mean", cl=0.95, digits=4, ...)

### Arguments

`x` | A fitted multi-state model object, as returned by `msm`.
`covariates` | Covariate values defining the "baseline" parameters (see `qmatrix.msm`).
`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 `format`. Defaults to 4.
`...` | Other arguments to be passed to `format`.

### Value

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.

### Author(s)

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk

### See Also

`print.msm`

[Package msm version 1.6.9 Index]