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bpAcc  

Blood Pressure Device Accuracy Evaluation: Statistical Considerations
View on CRAN: Click here


Download and install bpAcc package within the R console
Install from CRAN:
install.packages("bpAcc")

Install from Github:
library("remotes")
install_github("cran/bpAcc")

Install by package version:
library("remotes")
install_version("bpAcc", "0.0-2")



Attach the package and use:
library("bpAcc")
Maintained by
Victor Miranda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-26
Latest Update: 2024-01-18
Description:
A comprehensive statistical analysis of the accuracy of blood pressure devices based on the method of AAMI/ANSI SP10 standards developed by the AAMI Sphygmomanometer Committee for indirect measurement of blood pressure, incorporated into IS0 81060-2. The 'bpAcc' package gives the exact probability 'of accepting a device D' derived from the join distribution of the sample standard deviation and a non-linear transformation of the sample mean for a specified sample size introduced by Chandel et al. (2023) and by the Association for the Advancement of Medical Instrumentation (2003, ISBN:1-57020-183-8).
How to cite:
Victor Miranda (2022). bpAcc: Blood Pressure Device Accuracy Evaluation: Statistical Considerations. R package version 0.0-2, https://cran.r-project.org/web/packages/bpAcc. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0-1 (2022-01-26 20:22)
Other packages that cited bpAcc R package
View bpAcc citation profile
Other R packages that bpAcc depends, imports, suggests or enhances
Complete documentation for bpAcc
Functions, R codes and Examples using the bpAcc R package
Some associated functions: PAcceptance . Supfunctions . acceptregion . documented-methodsAAMIsp10 . notDocumentedYetAAMIsp10 . probaccept . probtolerror . psigmaami . 
Some associated R codes: AcceptR.R . MethodsProbAccept.R . PAccept.R . probaccept.R . psigmaami.R .  Full bpAcc package functions and examples
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