Function reference • BCEA

Main

BCEA BCEA-package: BCEA: Bayesian Cost Effectiveness Analysis

bcea(): Create Bayesian Cost-Effectiveness Analysis Object

new_bcea(): Constructor for bcea

Setters

Functions for modifying or extending a bcea() analysis.

setComparisons(): Set Comparisons Group

`setComparisons<-`(): Set Comparison Group

`setKmax<-`(): Set Maximum Willingness to Pay

`setReferenceGroup<-`(): Set Reference Group

`mixedAn<-`(): Cost-Effectiveness Analysis When Multiple (Possibly Non-Cost-Effective) Interventions are Present on the Market

`CEriskav<-`(): Cost-effectiveness Analysis Including a Parameter of Risk Aversion

multi.ce(<bcea>): Cost-effectiveness Analysis With Multiple Comparison

struct.psa(): Structural Probability Sensitivity Analysis

Plotting

Functions for plotting a wide variety of cost-effectiveness plots in base R, ggplot2 and plotly.

ceac.plot(): Cost-Effectiveness Acceptability Curve (CEAC) Plot

ceaf.plot(): Cost-Effectiveness Acceptability Frontier (CEAF) plot

ceef.plot(): Cost-Effectiveness Efficiency Frontier (CEEF) Plot

ceef_plot_ggplot() ceef_plot_base(): Cost-effectiveness Efficiency Frontier Plot By Graph Device

ceplane.plot(): Cost-effectiveness Plane Plot

ceplane_plot_base() ceplane_plot_ggplot() ceplane_plot_plotly(): Cost-Effectiveness Plane Plot By Graph Device

contour(): Contour Plots for the Cost-Effectiveness Plane

contour2(): Specialised CE-plane Contour Plot

contour_base() contour_ggplot(): Contour Cost-Effectiveness Plane

eib.plot(): Expected Incremental Benefit (EIB) Plot

eib_plot_base() eib_plot_ggplot() eib_plot_plotly(): Expected Incremental Benefit Plot By Graph Device

evi.plot(<mixedAn>): EVI Plot of the Health Economic Analysis For Mixed Analysis

evi.plot(): Expected Value of Information (EVI) Plot

evi_plot_base() evi_plot_ggplot() evi_plot_plotly(): Expected Value of Information Plot By Graph Device

ib.plot(): Incremental Benefit (IB) Distribution Plot

ib_plot_base() ib_plot_ggplot(): IB plot base R version

info.rank(): Information-Rank Plot for bcea Class

info_rank_base() info_rank_ggplot() info_rank_plotly(): Info Rank Plot By Graph Device

plot(<bcea>): Summary Plot of the Health Economic Analysis

plot(<CEriskav>): Plots EIB and EVPI for the Risk Aversion Case

CEriskav_plot_base() CEriskav_plot_ggplot(): Cost-effectiveness Plot Including a Parameter of Risk Aversion

plot(<evppi>): Plot Expected Value of Partial Information With Respect to a Set of Parameters

evppi_plot_base() evppi_plot_ggplot(): Plot Expected Value of Partial Information With Respect to a Set of Parameters

Statistics

Lower level functions for computing a range of cost-effectiveness statistics.

best_interv_given_k(): Optimal intervention

compute_CEAC(): Compute Cost-Effectiveness Acceptability Curve

compute_ceaf(): Compute Cost-Effectiveness Acceptability Frontier

compute_EIB(): Compute Expected Incremental Benefit

compute_eib_cri(): Calculate Credible Intervals

compute_EVI(): Compute Expected Value of Information

compute_IB(): Compute Incremental Benefit

compute_ICER(): Compute Incremental Cost-Effectiveness Ratio

compute_kstar(): Compute k^*

compute_ol(): Compute Opportunity Loss

compute_p_best_interv(): Compute Probability Best Intervention

compute_U(): Compute U Statistic

compute_Ubar(): Compute NB for mixture of interventions

compute_Ustar(): Compute Ustar Statistic

compute_vi(): Compute Value of Information

Outputs

Functions for reporting the results of the cost-effectiveness analysis.

make.report(): Make Report

sim_table(): Table of Simulation Statistics for the Health Economic Model

tabulate_means(): Calculate Dataset For ICERs From bcea Object

summary(<bcea>): Summary Method for Objects of Class bcea

summary(<mixedAn>): Summary Methods For Objects in the Class mixedAn (Mixed Analysis)

summary(<pairwise>): Summary Method for Objects of Class pairwise

Miscellaneous

Helper functions and other intermediate computations.

createInputs(): Create Inputs for EVPI Calculation

evppi(): Expected Value of Perfect Partial Information (EVPPI) for Selected Parameters

is.bcea(): Check bcea Class

print(<bcea>): bcea Print Method

select_plot_type(): Choose Graphical Engine

Data

Smoking cost data eff life.years pi_post smoking smoking_output treats: Data set for the Bayesian model for the cost-effectiveness of smoking cessation interventions

Vaccine c.pts cost.GP cost.hosp cost.otc cost.time.off cost.time.vac cost.travel cost.trt1 cost.trt2 cost.vac e.pts N N.outcomes N.resources QALYs.adv QALYs.death QALYs.hosp QALYs.inf QALYs.pne vaccine vaccine_mat: Data set for the Bayesian model for the cost-effectiveness of influenza vaccination

Deprecated

mce.plot(): Plots the probability that each intervention is the most cost-effective

plot.mixedAn(): Deprecated functions in package BCEA.