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bpAcc
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-26
Latest Update: 2022-01-26
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 28 Jan. 2025.
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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