mc.calc.Student

vector of point estimates for each bootstrap
 sample. The i-th element contains the point estimate of
 the i-th bootstrap sample.

Xboot

numeric value specifying the 100(1-alpha)%
 confidence level for the confidence interval (Default is
 0.05).

alpha

global point estimate for which the
 confidence interval shall be computed.

xhat

number of points used for the regression
 analysis.

npoints

Calculate bootstrap confidence intervals for intercept,
slope or bias given a vector of bootstrap point estimates.

Regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.

Sergej Potapov

Method Comparison Regression

mc.calc.Student function

<dl> <dt>Xboot</dt>
<dd>vector of point estimates for each bootstrap
 sample. The i-th element contains the point estimate of
 the i-th bootstrap sample.</dd>
 <dt>alpha</dt>
<dd>numeric value specifying the 100(1-alpha)%
 confidence level for the confidence interval (Default is
 0.05).</dd>
 <dt>xhat</dt>
<dd>global point estimate for which the
 confidence interval shall be computed.</dd>
 <dt>npoints</dt>
<dd>number of points used for the regression
 analysis.</dd></dl>

Arguments

Student Method for Calculation of Resampling Confidence Intervals — mc.calc.Student

<dl>

 <dt>Xboot</dt>
<dd>vector of point estimates for each bootstrap
 sample. The i-th element contains the point estimate of
 the i-th bootstrap sample.</dd>


 <dt>alpha</dt>
<dd>numeric value specifying the 100(1-alpha)%
 confidence level for the confidence interval (Default is
 0.05).</dd>


 <dt>xhat</dt>
<dd>global point estimate for which the
 confidence interval shall be computed.</dd>


 <dt>npoints</dt>
<dd>number of points used for the regression
 analysis.</dd>

</dl>

mc.calc.Student: Student Method for Calculation of Resampling Confidence Intervals

Description

Usage

Value

Arguments

References