Package: IQCC 0.8.0

IQCC: Improved Quality Control Charts

Implements improved statistical process control charts with exact, Cornish-Fisher corrected, standardized, and simulation-based probability limits. Methods include univariate attribute and variable charts, double-sampling charts for rare nonconformities, Hotelling T-squared charts, and generalized variance charts for multivariate process variability. Numerical functions for limits, false-alarm risk, average run length, and average sample size are separated from plotting interfaces to support reproducible statistical validation.

Authors:Flavio Barros [aut, cre], Emanuel Barbosa [ctb], Elias Goncalves [ctb], Daniela Recchia [ctb]

IQCC_0.8.0.tar.gz
IQCC_0.8.0.zip(r-4.7-any)IQCC_0.8.0.zip(r-4.6-any)IQCC_0.8.0.zip(r-4.5-any)
IQCC_0.8.0.tgz(r-4.6-any)IQCC_0.8.0.tgz(r-4.5-any)
IQCC_0.8.0.tar.gz(r-4.7-any)IQCC_0.8.0.tar.gz(r-4.6-any)
IQCC_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
IQCC/json (API)

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

Bug tracker:https://github.com/flaviobarros/iqcc/issues

Pkgdown/docs site:https://flaviobarros.github.io

Datasets:

On CRAN:

Conda:

quality-control

6.74 score 2 stars 1 packages 38 scripts 866 downloads 46 exports 4 dependencies

Last updated from:69a1d01837. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK228
source / vignettesOK243
linux-releaseOK190
macos-releaseOK214
macos-oldrelOK278
windows-develOK167
windows-releaseOK182
windows-oldrelOK161
wasm-releaseOK92

Exports:add.dataalpha.riskc4cchart.DSnpcchart.GVcchart.pcchart.Rcchart.Scchart.T2.1cchart.T2.2cchart.trVcchart.ucchart.Xbarcchart.Xbar_Rcchart.Xbar1cchart.Xbar2d2d3data.1data.2dsnp_arldsnp_assdsnp_designdsnp_limitsdsnp_prob_acceptgv_alpha_riskgv_limitsgv_statpchart_alpha_riskpchart_limitsr_exact_limitsr_shewhart_limitsremove.datas_exact_limitss_shewhart_limitssim_t2_asymptoticstatsT2.1T2.2table.consttable.qtukeytrv_alpha_risktrv_limitstrv_statuchart_alpha_riskuchart_limits

Dependencies:digestMASSmiscToolsqcc

Numerical validation against the methodological literature
Validation protocol | Corrected p chart | Exact range chart | Double-sampling np chart | u chart | Generalized variance chart | Validation coverage and remaining gaps | References

Last update: 2026-08-11
Started: 2026-08-11

High-quality processes and rare nonconformities
Motivation | When to correct the p chart | Diagnosing p-chart applicability | Double-sampling np charts | Inspecting a published plan | Average sample size: complete versus curtailed inspection | ARL and ASS as functions of p | Searching for limits | Searching a complete design | Trade-off between detection and sampling effort | Interpreting fractional limits | Constructing the chart | Practical workflow | References

Last update: 2026-07-27
Started: 2026-06-29

IQCC in the R SPC Ecosystem: A Comparison
Introduction | Comparable Packages | Feature Comparison | Limit Methodology | High-Quality Processes and Rare Defects | Multivariate Monitoring | Software Architecture | Documentation | When to Choose IQCC | Limitations of IQCC | References

Last update: 2026-07-26
Started: 2026-07-26

Monitoring univariate dispersion with R and S charts
Choosing a dispersion statistic | The relative range | Classical and exact R limits | Reproducing Table 2 | False-alarm risk and subgroup size | Phase I and Phase II with an R chart | S charts | Interpretation and limitations | References

Last update: 2026-07-17
Started: 2026-07-17

Monitoring multivariate processes with IQCC
Scope | Input formats | Hotelling T-squared | Generalized variance | Auxiliary trace chart | Practical sequence

Last update: 2026-07-17
Started: 2026-07-17

Getting started with IQCC
What IQCC is for | Numerical functions and chart wrappers | Phase I, Phase II, and reference parameters | Input formats | Corrected p and u charts | Double-sampling np | Range and standard-deviation charts | Hotelling T-squared | Generalized variance and tr(V) | Choosing a method | Inspecting limits and signals | Common errors | Further documentation

Last update: 2026-07-15
Started: 2026-07-15

Statistical Foundations of IQCC
Overview | Binomial p chart | Poisson u chart | Double-sampling np chart | Generalized variance chart | Auxiliary trace chart | Published Table 3 | Published Case B: partial reproduction | Validation strategy | References

Last update: 2026-07-15
Started: 2026-07-12

When to use IQCC: exact and corrected control charts
Purpose | Positioning in the R ecosystem | Current implemented methods | Executed example: corrected p-chart limits | Executed example: DS-np operating characteristics | Executed example: generalized variance | Development principles

Last update: 2026-07-15
Started: 2026-06-29

Readme and manuals

Help Manual

Help pageTopics
IQCC: Improved Quality Control ChartsIQCC-package IQCC
Add a New Observation to a Phase II T² Chartadd.data
False-Alarm Probability for the Three-Sigma R Chartalpha.risk
Binomial Process Data for p-Chartsbinomdata
Bias Correction Constant for Sample Standard Deviationc4
Double-Sampling np Control Chartcchart.DSnp
Generalized Variance Control Chartcchart.GV plot.cchart.GV
p-chartcchart.p
Range Control Chartcchart.R
Standard-Deviation Control Chartcchart.S
Phase I Hotelling T² Control Chartcchart.T2.1
Phase II Hotelling T² Control Chartcchart.T2.2
Trace-Statistic Control Chartcchart.trV plot.cchart.trV print.cchart.trV print.summary.cchart.trV summary.cchart.trV
u-chartcchart.u
X-bar Control Chart for Phase I and Phase IIcchart.Xbar
X-bar and R Control Chartscchart.Xbar_R
Phase I X-bar Shewhart Control Chartcchart.Xbar1
Phase II X-bar Shewhart Control Chartcchart.Xbar2
Mean of the Relative Ranged2
Standard Deviation of the Relative Ranged3
Simulate Phase I Multivariate Normal Datadata.1
Simulate Phase II Multivariate Normal Datadata.2
Double-Sampling np Chart: Average Run Lengthdsnp_arl
Double-Sampling np Chart: Average Sample Sizedsnp_ass
Double-Sampling np Chart: Complete Design Searchdsnp_design print.dsnp_design
Double-Sampling np Chart: Limit Searchdsnp_limits
Double-Sampling np Chart: Acceptance Probabilitydsnp_prob_accept
False-Alarm Risk for Generalized Variance Chartsgv_alpha_risk
Generalized Variance Control Limitsgv_limits
Generalized Variance by Subgroupgv_stat
Moonroof Installation Defect Datamoonroof
Exact False-Alarm Risk for p-Chart Limitspchart_alpha_risk
Probability Limits for p Chartspchart_limits
Piston Rings Diameter Datapistonrings
Plot a DS-np Control Chartplot.cchart.DSnp
Print and Summarize a Double-Sampling np Control Chartprint.cchart.DSnp print.summary.cchart.DSnp summary.cchart.DSnp
Print and Summarize a Generalized Variance Control Chartprint.cchart.GV print.summary.cchart.GV summary.cchart.GV
Exact Probability Limits for the R Chartr_exact_limits
Conventional Three-Sigma Limits for the R Chartr_shewhart_limits
Remove an Observation from Phase I Dataremove.data
Exact Probability Limits for the S Charts_exact_limits
Conventional Shewhart Limits for the S Charts_shewhart_limits
Simulate Asymptotic Distribution of Hotelling T²sim_t2_asymptotic
Soft Drink Bottling Volume Datasoftdrink
Auxiliary Statistics for Hotelling T² Chartsstats
Hotelling T² Statistic for Phase IT2.1
Hotelling T² Statistic for Phase IIT2.2
Table of Control Chart Constants d2, d3, and c4table.const
Tukey Quantile Table for the Relative Rangetable.qtukey
False-Alarm Risk for Trace-Statistic Chartstrv_alpha_risk
Trace-Statistic Control Limitstrv_limits
Trace Statistic for Multivariate Variabilitytrv_stat
Exact False-Alarm Risk for u-Chart Limitsuchart_alpha_risk
Probability Limits for u Chartsuchart_limits