ceac_des: Calculate the cost-effectiveness acceptability curve (CEAC)...
In Roche/descem: Discrete Event Simulation for Cost-Effectiveness Modelling
View source: R/results_summary_f.R
ceac_des R Documentation
Calculate the cost-effectiveness acceptability curve (CEAC) for a DES model with a PSA result
Description
Calculate the cost-effectiveness acceptability curve (CEAC) for a DES model with a PSA result
Usage
ceac_des(wtp, results, interventions = NULL)
Arguments
wtp
Vector of length >=1 with the willingness to pay
results
The list object returned by RunSim()
interventions
A character vector with the names of the interventions to be used for the analysis
Value
A data frame with the CEAC results
Examples
## Not run:
ceac_des(seq(from=10000,to=500000,by=10000),results)
## End(Not run)
Roche/descem documentation built on July 27, 2022, 11:18 a.m.
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View source: R/results_summary_f.R
| ceac_des | R Documentation |
Calculate the cost-effectiveness acceptability curve (CEAC) for a DES model with a PSA result
Description
Calculate the cost-effectiveness acceptability curve (CEAC) for a DES model with a PSA result
Usage
ceac_des(wtp, results, interventions = NULL)
Arguments
wtp |
Vector of length >=1 with the willingness to pay |
results |
The list object returned by |
interventions |
A character vector with the names of the interventions to be used for the analysis |
Value
A data frame with the CEAC results
Examples
## Not run: ceac_des(seq(from=10000,to=500000,by=10000),results) ## End(Not run)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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