| 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 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.
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.