Package: spcadjust 1.1

spcadjust: Functions for Calibrating Control Charts

Calibration of thresholds of control charts such as CUSUM charts based on past data, taking estimation error into account.

Authors:Axel Gandy <[email protected]> and Jan Terje Kvaloy <[email protected]>.

spcadjust_1.1.tar.gz
spcadjust_1.1.zip(r-4.5)spcadjust_1.1.zip(r-4.4)spcadjust_1.1.zip(r-4.3)
spcadjust_1.1.tgz(r-4.4-any)spcadjust_1.1.tgz(r-4.3-any)
spcadjust_1.1.tar.gz(r-4.5-noble)spcadjust_1.1.tar.gz(r-4.4-noble)
spcadjust_1.1.tgz(r-4.4-emscripten)spcadjust_1.1.tgz(r-4.3-emscripten)
spcadjust.pdf |spcadjust.html✨
spcadjust/json (API)
NEWS

# Install 'spcadjust' in R:
install.packages('spcadjust', repos = c('https://agandy.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.35 score 1 stars 37 scripts 187 downloads 14 exports 0 dependencies

Last updated 8 years agofrom:de5d69322d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:getcdfupdatesgetqrunchartshowSPC2sidedconfintSPCModellmSPCModellogregLikRatioSPCModellogregOESPCModelNonparSPCModelNonparCenterScaleSPCModelNormalSPCpropertyupdatesxiofdata

Dependencies:

CUSUM Chart based on Linear Regression Models with Estimated Parameters

Rendered fromCUSUM_LinearRegression.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2016-09-29
Started: 2015-06-26

CUSUM Chart based on Logistic Regression Models with Estimated Parameters

Rendered fromCUSUM_LogisticRegression.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2016-09-29
Started: 2015-06-26

CUSUM Chart with estimated In-Control State

Rendered fromCUSUM_NormalNormal.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2016-09-29
Started: 2015-06-26

EWMA Chart with estimated In-Control State

Rendered fromEWMA_NormalNormal.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2016-09-29
Started: 2015-11-21

Extensions

Rendered fromExtensions.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2016-09-29
Started: 2015-11-21

Shewhart Chart with estimated In-Control State

Rendered fromShewhart_NormalNormal.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2016-09-29
Started: 2015-06-26

Readme and manuals

Help Manual

Help pageTopics
Cardiac surgery datacardiacsurgery
CDF of Updates of a Control Chartgetcdfupdates getcdfupdates,SPCchart-method getcdfupdates,SPCShew-method
Returns a List to Compute Properties of a chartgetq getq,SPCCUSUM-method getq,SPCEWMA-method getq,SPCShew-method
Runs a chartrunchart runchart,SPCCUSUM-method runchart,SPCEWMA-method runchart,SPCShew-method
Computes a two-sided confidence interval for properties of a control chart.SPC2sidedconfint
Virtual Base Class for Control ChartsSPCchart-class
CUSUM ChartsSPCCUSUM-class
Data Model for SPC chartsSPCDataModel SPCDataModel-class
EWMA ChartsSPCEWMA-class
Data model based on a linear modelSPCModellm
Data Model for Binary Responses using a logarithmic model and likelihood ratio updates.SPCModellogregLikRatio
Data Model for Binary Responses using a Logarithmic Model and observed minus expected updates.SPCModellogregOE
Generic Model for Nonparametric ResamplingSPCModelNonpar
Nonparametric Resampling with Centering and ScalingSPCModelNonparCenterScale
Parametric Model for Normally Distributed Data with Centering and ScalingSPCModelNormal
Computes bootstrap adjusted properties for control chartsSPCproperty
Results of SPCproperty.show,SPCpropertyres-method SPCpropertyres-class
Shewhart charts.SPCShew-class
Updates of a Control Chartupdates updates,SPCchart-method updates,SPCShew-method
Estimate Chart Parametersxiofdata xiofdata,SPCchart-method