Package: VCA 1.5.1
Andre Schuetzenmeister
VCA: Variance Component Analysis
ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.
Authors:
VCA_1.5.1.tar.gz
VCA_1.5.1.tar.gz(r-4.5-noble)VCA_1.5.1.tar.gz(r-4.4-noble)
VCA_1.5.1.tgz(r-4.4-emscripten)VCA_1.5.1.tgz(r-4.3-emscripten)
VCA.pdf |VCA.html✨
VCA/json (API)
# Install 'VCA' in R: |
install.packages('VCA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- CA19_9 - Reproducibility Example Dataset from CLSI EP05-A3
- Glucose - Inermediate Precision Data from CLSI EP05-A3
- HugeData - Huge Dataset with Three Variables
- LSMeans_Data - Dataset for Unit-Testing of LS Means
- MLrepro - Multi-Lot Reproducibility Data.
- Orthodont - Orthodont dataset from R-package 'nlme'
- ReproData1 - Multi-Site Data for Estimating Reproducibility Precision
- VCAdata1 - Simulated Data for Variance Component Analysis.
- chol2invData - Dataset Generating Error in Function 'chol2inv'
- dataEP05A2_1 - Simulated Data of a CLSI EP05-A2 20/2/2 Experiment
- dataEP05A2_2 - Simulated Data of a CLSI EP05-A2 20/2/2 Experiment
- dataEP05A2_3 - Simulated Data of a CLSI EP05-A2 20/2/2 Experiment
- dataEP05A3_MS_1 - Simulated Data of a CLSI EP05-A3 3/5/5 Multi-Site Experiment
- dataEP05A3_MS_2 - Simulated Data of a CLSI EP05-A3 3/5/5 Multi-Site Experiment
- dataEP05A3_MS_3 - Simulated Data of a CLSI EP05-A3 3/5/5 Multi-Site Experiment
- dataRS0003_1 - Simulated Repeated Measurements Data.
- dataRS0003_2 - Simulated Repeated Measurements Data.
- dataRS0003_3 - Simulated Repeated Measurements Data.
- dataRS0005_1 - Simulated Data of 5/3 Experiment.
- dataRS0005_2 - Simulated Data of 5/3 Experiment.
- dataRS0005_3 - Simulated Data of 5/3 Experiment.
- realData - Real-World Data
- sleepstudy - Sleepstudy dataset from R-package 'lme4'
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:6ba209256c. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 03 2024 |
Exports:anovaMManovaVCAas.matrix.VCAas.matrix.VCAinferencecoef.VCAfitLMMfitVCAfixeffixef.VCAgetCIgetDFgetIP.remlVCAgetLgetMatgetMMgetVisBalancedlegend.mlmerSummarylsmeansmodel.frame.VCAmodel.matrix.VCAMPinvorderDataplot.VCAplotRandVarpredict.VCAprint.VCAprint.VCAinferenceprotectedCallranefranef.VCAremlMMremlVCAreScaleresiduals.VCAScalescaleDatasolveMMEstepwiseVCAsummarize.VCAsummarize.VCAinferencetest.fixeftest.lsmeansvarPlotVCAinferencevcov.VCAvcovVC
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrnumDerivRcppRcppEigen