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VCA
View on CRAN: Click
here
Download and install VCA package within the R console
Install from CRAN:
install.packages("VCA")
Install from Github:
library("remotes")
install_github("cran/VCA")
Install by package version:
library("remotes")
install_version("VCA", "1.5.1")
Attach the package and use:
library("VCA")
Maintained by
Andre Schuetzenmeister
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-03-16
Latest Update: 2024-01-18
Description:
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.
How to cite:
Andre Schuetzenmeister (2015). VCA: Variance Component Analysis. R package version 1.5.1, https://cran.r-project.org/web/packages/VCA. Accessed 30 Jan. 2025.
Previous versions and publish date:
1.1.1 (2015-04-27 09:03), 1.1 (2015-03-16 10:29), 1.2.1 (2015-11-24 15:16), 1.2 (2015-07-20 18:08), 1.3.1 (2016-04-04 13:38), 1.3.2 (2016-07-25 20:30), 1.3.3 (2017-07-12 14:52), 1.3.4 (2018-07-18 14:20), 1.3 (2016-03-23 23:41), 1.4.0 (2019-07-10 18:32), 1.4.1 (2019-11-14 23:40), 1.4.2 (2019-12-17 17:20), 1.4.3 (2020-06-17 11:50), 1.4.4 (2022-08-31 20:20), 1.4.5 (2022-09-07 11:30), 1.4.6 (2024-01-17 10:22), 1.5.0 (2024-01-18 13:00)
Other packages that cited VCA R package
View VCA citation profile
Other R packages that VCA depends,
imports, suggests or enhances
Complete documentation for VCA
Functions, R codes and Examples using
the VCA R package
Some associated functions: CA19_9 . DfSattHelper . Fsweep . Glucose . HugeData . MLrepro . MPinv . Orthodont . ReproData1 . SattDF . Scale . Solve . Trace . VCA-Package . VCAdata1 . VCAinference . anovaMM . anovaVCA . as.matrix.VCA . as.matrix.VCAinference . buildList . check4MKL . chol2invData . coef.VCA . dataEP05A2_1 . dataEP05A2_2 . dataEP05A2_3 . dataEP05A3_MS_1 . dataEP05A3_MS_2 . dataEP05A3_MS_3 . dataRS0003_1 . dataRS0003_2 . dataRS0003_3 . dataRS0005_1 . dataRS0005_2 . dataRS0005_3 . fitLMM . fitVCA . fixef.VCA . fixef . getDDFM . getDF . getGB . getIP.remlVCA . getL . getMM . getMat . getSSQsweep . getV . isBalanced . legend.m . lmerG . lmerMatrices . lmerSummary . load_if_installed . lsmMat . lsmeans . model.frame.VCA . model.matrix.VCA . orderData . plot.VCA . plotRandVar . predict.VCA . print.VCA . print.VCAinference . ranef.VCA . ranef . reScale . realData . remlMM . remlVCA . residuals.VCA . scaleData . sleepstudy . solveMME . stepwiseVCA . test.fixef . test.lsmeans . varPlot . vcov.VCA . vcovFixed . vcovVC .
Some associated R codes: anova.R . plot.R . reml.R . utils.R . vca.R . Full VCA package functions and examples
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