show,ProbAcceptance-method

plot,ProbAcceptance-method

The function <code>ProbAccept</code>
 returns an object of (S4) class '<code>ProbAcceptance</code>', a list
 with elements required by methods defined 
 for <code>ProbAcceptance</code> objects. See below.

classes

models

methods

internal

regression

bpAcc-methods

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).

Victor Miranda

bpAcc

Blood Pressure Device Accuracy Evaluation: Statistical
Considerations

Tanvi Chandel

Andrew Lowe

Tet Chuan Lee

Auckland_University_of_Technology (AUT) 

bpAcc-methods function

Methods for objects of class '<code>ProbAcceptance</code>'.<dl>
 
 <dt><code>show</code></dt>
<dd>To display the probability of tolerable error in a friendly version.</dd> <dt><code>plot</code></dt>
<dd>To plot the estimated probabiliy of tolerable error based on simulated data,
 as described in <code>ProbAccept</code> 
</dd> 
</dl>

Methods

# Creates an object of class 'ProbAcceptance'
fit1 &lt;- ProbAccept(n = 85, mu = 5, sd = 5, ptolerror = 0.85)
# Methods 'show' and 'plot'
# plot(fit1)
# fit1

Examples

Methods functions in bpAcc — bpAcc-methods

Methods for objects of class '<code>ProbAcceptance</code>'.<dl>
 
 <dt><code>show</code></dt>
<dd>To display the probability of tolerable error in a friendly version.</dd>

 <dt><code>plot</code></dt>
<dd>To plot the estimated probabiliy of tolerable error based on simulated data,
 as described in <code>ProbAccept</code> 
</dd>

 
</dl>

# Creates an object of class 'ProbAcceptance'
fit1 &lt;- ProbAccept(n = 85, mu = 5, sd = 5, ptolerror = 0.85)
# Methods 'show' and 'plot'
# plot(fit1)
# fit1

bpAcc-methods: Methods functions in bpAcc

Description

Arguments

Methods

Examples