Extract regression coefficient estimates from objects in the class missingHE

Produces a table printout with summary statistics for the regression coefficients of the health economic evaluation probabilistic model run using the function selection(), pattern(), hurdle() or lmdm().

Usage

# S3 method for class 'missingHE'
coef(object, prob = c(0.025, 0.975), random = FALSE, digits = 3, ...)

Arguments

object

A missingHE object containing the results of the Bayesian modelling and the economic evaluation

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 random is TRUE, the estimates of the random effects parameters are printed, when available.

digits

Integer indicating the number of decimal places to be used for rounding (default = 3).

...

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(), pattern(), hurdle() or lmdm().

See also

selection() pattern() hurdle() lmdm() diagnostic() plot.missingHE()

Author

Andrea Gabrio

Examples

# For examples see the function [selection()], [pattern()], [hurdle()] or [lmdm()].
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