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Print method for objects in the class missingHE

Source: R/print.missingHE.R
print.missingHE.Rd

Produces a printout of the (posterior mean) estimate for each regression coefficient included in the outcome and missingness/structural value models based on the health economic evaluation probabilistic model run using the function selection(), pattern(), hurdle() or lmdm().

Usage

# S3 method for class 'missingHE'
print(x, digits = 3, ...)

Arguments

x

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

digits

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

...

Additional arguments affecting the summary produced.

Value

Prints all fixed regression coefficients based on the type of model fitted using the function selection(), pattern(), hurdle() or lmdm(). Summary estimates based on posterior means of each fixed regression coefficient included into the fitted models are provided.

References

Baio, G.(2012). Bayesian Methods in Health Economcis. CRC/Chapman Hall, London.

See also

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

Author

Andrea Gabrio

Examples

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