errors.nb

Extracts the estimated measurement errors assuming there is no bias and using the original data
 values.

 htest

N>=3 methods are used to measure each of n items.
The data are used to estimate simultaneously systematic error (bias)
and random error (imprecision). Observed measurements for each method
or device are assumed to be linear functions of the unknown true values
and the errors are assumed normally distributed. Pairwise calibration
curves and plots can be easily generated. Unlike the 'ncb.od' function,
the 'omx' function builds a one-factor measurement error model using 'OpenMx'
and allows missing values, uses full information maximum likelihood to
estimate parameters, and provides both likelihood-based and bootstrapped
confidence intervals for all parameters, in addition to Wald-type intervals.

Richard Bilonick

merror

Accuracy and Precision of Measurements

errors.nb function

<dl> <dt>x</dt>
<dd>A matrix or numeric data.frame consisting of an n (no. of items) by N
 (no. of methods) matrix of measuremnts. N must be &gt;= 3 and n &gt; N.</dd></dl>

Arguments

Author

Extracts the estimated measurement errors assuming there is no bias and using the original data. — errors.nb

<dl>

 <dt>x</dt>
<dd>A matrix or numeric data.frame consisting of an n (no. of items) by N
 (no. of methods) matrix of measuremnts. N must be &gt;= 3 and n &gt; N.</dd>

</dl>

errors.nb: Extracts the estimated measurement errors assuming there is no bias and using the original data.

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples