dpunc: Output list object of class ICEuncrt for the High Uncertainty...

In ICEinfer: Incremental Cost-Effectiveness Inference using Two Unbiased Samples

Description

dpunc is the output list object of class ICEuncrt resulting from the following time consuming computation: dpunc <- ICEuncrt(dulxparx, dulx, idb, ru, lambda=0.26)

Usage

data(dpunc)

Format

Output list object of class ICEuncrt.

df

Saved value of the name of the data.frame input to ICEuncrt.

lambda

Saved positive value of lambda input to ICEuncrt.

ceunit

Saved value of ceunit ("cost" or "effe") input to ICEuncrt.

R

Saved integer value for number of bootstrap replications input to ICEuncrt.

trtm

Saved name of the treatment indicator within the df data.frame.

xeffe

Saved name of the treatment effectiveness variable within the df data.frame.

ycost

Saved name of the treatment cost variable within the df data.frame.

effcst

Saved value of the sorted 3-variable (trtm,effe,cost) data.frame.

t1

Observed value of (DeltaEffe, DeltaCost) when each patient is included exactly once.

t

R x 2 matrix of values of (DeltaEffe, DeltaCost) computed from bootstrap resamples.

seed

Saved value of the seed used to start pseudo random number generation.

Examples

    # Intermediate ICEinfer Output List for the dulxparx dataset...
    data(dpunc)
    plot(dpunc)

Example output

Loading required package: lattice

ICEinfer documentation built on Oct. 23, 2020, 8:31 p.m.