Package news for rQCC package

version 2.22.12

• 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.

version 2.22.5

• Some references are updated.

• The new racc function for the robust attributes control charts is added.

version 2.22.1

• 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".'

version 1.20.7

• The S and R charts are added in the rcc function.

• The vignettes 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.

version 1.20.3

• 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.

version 0.19.8.2

• The first rQCC R package was developed.

• Unbiased robust estimates were implemented.

• Incorporated into control charting applications.