news | R Documentation |
The vignette
for the pooledEstimator
function is added.
The updated acc
function privides the exponential and Weibull t control charts.
The updated racc
function privides the robust exponential and Weibull t control charts.
The updated rcc
function can handle unbalanced samples with different pooling methods.
Some references are updated.
Some references are updated.
The new racc
function for the robust attributes control charts is added.
The argument 'method
' is changed to 'estimator
.'
The new pooledEstimator
function is added.
This function calculates the pooled estimator based on the unbiased estimators such as the mean, median, Hodges-Lehmann (HL1, HL2, HL3), standard deviation, range, median absolute deviation (MAD) and Shamos estimators..
The new acc
function for the attributes control charts is added.
The new sd.unbiased
function is added.
The updated rcc
function can handle unbalanced samples.
The updated evar
function can handle multiple samples.
The updated RE
function can handle multiple samples.
The factors.cc
is improved for the case of 'factor="d3"
.'
The S and R charts are added in the rcc
function.
The vignette
s for the factors.cc
and rcc
functions are added.
The A3.factor
function is replaced with the updated factors.cc
function.
Typos are corrected. For example, some typos in the help page of shamos function.
The graphics parts were added.
The summary
function for the output from rcc
was added.
The print
function for the output from rcc
was added.
The plot
function for the output from rcc
was added.
The first rQCC
R package was developed.
Unbiased robust estimates were implemented.
Incorporated into control charting applications.