coef.missingHE {missingHE} | R Documentation |
Extract regression coefficient estimates from objects in the class missingHE
Description
Produces a table printout with summary statistics for the regression coefficients of the health economic evaluation probabilistic model
run using the function selection
, selection_long
, pattern
or hurdle
.
Usage
## S3 method for class 'missingHE'
coef(object, prob = c(0.025, 0.975), random = FALSE, time = 1, digits = 3, ...)
Arguments
object |
A |
prob |
A numeric vector of probabilities within the range (0,1), representing the upper and lower CI sample quantiles to be calculated and returned for the estimates. |
random |
Logical. If |
time |
A number indicating the time point at which posterior results for the model coefficients should be reported (only for longitudinal models). |
digits |
Number of digits to be displayed for each estimate. |
... |
Additional arguments affecting the summary produced. |
Value
Prints a table with some summary statistics, including posterior mean, standard deviation and lower and upper quantiles based on the
values specified in prob
, for the posterior distributions of the regression coefficients of the effects and costs models run using the
function selection
, selection_long
, pattern
or hurdle
.
Author(s)
Andrea Gabrio
See Also
selection
selection_long
pattern
hurdle
diagnostic
plot.missingHE
Examples
# For examples see the function \code{\link{selection}}, \code{\link{selection_long}},
# \code{\link{pattern}} or \code{\link{hurdle}}
#
#