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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.