| VCA-package | (V)ariance (C)omponent (A)nalysis. |
| anovaMM | ANOVA-Type Estimation of Mixed Models |
| anovaVCA | ANOVA-Type Estimation of Variance Components for Random Models |
| as.matrix.VCA | Standard 'as.matrix' Method for 'VCA' S3-Objects |
| as.matrix.VCAinference | Standard 'as.matrix' Method for 'VCAinference' S3-Objects |
| buildList | Build a Nested List. |
| CA19_9 | Reproducibility Example Dataset from CLSI EP05-A3 |
| check4MKL | Check for Availability of Intel's Math Kernel Library |
| checkData | Check Random Model for Given Dataset. |
| checkVars | Check Tow Formula Terms for Potential Problems. |
| chol2invData | Dataset Generating Error in Function 'chol2inv' |
| coef.VCA | Extract Fixed Effects from 'VCA' Object |
| 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. |
| DfSattHelper | Variance-Covariance Matrix of Fixed Effects as Function of Covariance Parameter Estimates |
| errorMessage | Convert Objects to Detailed Error Message. |
| fitLMM | Fit Linear Mixed Model by ANOVA or REML |
| fitVCA | Fit Variance Component Model by ANOVA or REML |
| fixef | Generic Method for Extracting Fixed Effects from a Fitted Model |
| fixef.VCA | Extract Fixed Effects from 'VCA' Object |
| Fsweep | Calling F90-implementation of the SWEEP-Operator |
| getCI | Extract Confidence Intervals from VCA-Objects. |
| getDDFM | Degrees of Freedom for Testing Linear Contrasts of Fixed Effects and Least Square Means |
| getDF | Extract Degrees of Freedom from Linear Hypotheses of Fixed Effects or LS Means |
| getGB | Giesbrecht & Burns Approximation of the Variance-Covariance Matrix of Variance Components |
| getIP.remlVCA | Intermediate Precision for remlVCA-fitted objects of class 'VCA' |
| getL | Construct Linear Contrast Matrix for Hypothesis Tests |
| getMat | Extract a Specific Matrix from a 'VCA' Object |
| getMM | Overparameterized Design Matrices |
| getSSQsweep | ANOVA Sum of Squares via Sweeping |
| getV | Determine V-Matrix for a 'VCA' Object |
| Glucose | Inermediate Precision Data from CLSI EP05-A3 |
| HugeData | Huge Dataset with Three Variables |
| isBalanced | Check Whether Design Is Balanced Or Not |
| legend.m | Add Legend to Margin. |
| lmerG | Construct Variance-Covariance Matrix of Random Effects for Models Fitted by Function 'lmer' |
| lmerMatrices | Derive and Compute Matrices for Objects Fitted by Function 'lmer' |
| lmerSummary | Derive VCA-Summary Table from an Object Fitted via Function 'lmer' |
| load_if_installed | Load 'RevoUtilsMath'-package if available |
| lsmeans | Least Squares Means of Fixed Effects |
| LSMeans_Data | Dataset for Unit-Testing of LS Means |
| lsmMat | Contrast Matrix for LS Means |
| MLrepro | Multi-Lot Reproducibility Data. |
| model.frame.VCA | Extract the Model Frame from a 'VCA' Object |
| model.matrix.VCA | Model Matrix of a Fitted VCA-Object |
| MPinv | Moore-Penrose Generalized Inverse of a Matrix |
| orderData | Re-Order Data.Frame |
| Orthodont | Orthodont dataset from R-package 'nlme' |
| plot.VCA | Standard 'plot' Method for 'VCA' S3-Objects. |
| plotRandVar | Plot Random Variates of a Mixed Model ('VCA' Object). |
| predict.VCA | Predictions from a Model Fitted by 'fitLMM' |
| print.VCA | Standard Printing Method for Objects of Class 'VCA' |
| print.VCAinference | Standard Print Method for Objects of Class 'VCAinference' |
| protectedCall | Wrap Function-Calls to Execute Additional Checks. |
| ranef | Generic Method for Extracting Random Effects from a Fitted Model |
| ranef.VCA | Extract Random Effects from 'VCA' Object |
| realData | Real-World Data |
| remlMM | Fit Linear Mixed Models via REML |
| remlVCA | Perform (V)ariance (C)omponent (A)nalysis via REML-Estimation |
| ReproData1 | Multi-Site Data for Estimating Reproducibility Precision |
| reScale | Re-Scale results of 'VCA' or 'VCAinference' |
| resid | Extract Residuals of a 'VCA' Object |
| residuals.VCA | Extract Residuals of a 'VCA' Object |
| SattDF | Satterthwaite Approximation for Total Degrees of Freedom and for Single Variance Components |
| Scale | Automatically Scale Data Calling these Functions: 'anovaVCA', 'anovaMM', 'remlVCA' or 'remlMM' |
| scaleData | Scale Response Variable to Ensure Robust Numerical Calculations |
| sleepstudy | sleepstudy dataset from R-package 'lme4' |
| Solve | Solve System of Linear Equations using Inverse of Cholesky-Root |
| solveMME | Solve Mixed Model Equations |
| stepwiseVCA | Bottom-Up Step-Wise VCA-Analysis of the Complete Dataset |
| summarize.VCA | Summarize Outcome of a Variance Component Analysis. |
| summarize.VCAinference | Summarize Outcome of a Variance Component Analysis. |
| test.fixef | Perform t-Tests for Linear Contrasts on Fixed Effects |
| test.lsmeans | Perform t-Tests for Linear Contrasts on LS Means |
| Trace | Compute the Trace of a Matrix |
| varPlot | Variability Chart for Hierarchical Models. |
| VCA | (V)ariance (C)omponent (A)nalysis. |
| VCAdata1 | Simulated Data for Variance Component Analysis. |
| VCAinference | Inferential Statistics for VCA-Results |
| vcov.VCA | Calculate Variance-Covariance Matrix of Fixed Effects for an 'VCA' Object |
| vcovFixed | Calculate Variance-Covariance Matrix and Standard Errors of Fixed Effects for an 'VCA' Object |
| vcovVC | Calculate Variance-Covariance Matrix of Variance Components of 'VCA' objects |