| ci | Compute Confidence Intervals |
| ci.binom | Compute Confidence Intervals |
| ci.estimable | Compute Confidence Intervals |
| ci.lm | Compute Confidence Intervals |
| ci.lme | Compute Confidence Intervals |
| ci.numeric | Compute Confidence Intervals |
| coefFrame | Return model parameters in a data frame |
| CrossTable | Cross Tabulation with Tests for Factor Independence |
| estimable | Contrasts and estimable linear functions of model coefficients |
| estimable.default | Contrasts and estimable linear functions of model coefficients |
| estimable.mlm | Contrasts and estimable linear functions of model coefficients |
| fast.prcomp | Efficient computation of principal components and singular value decompositions. |
| fast.svd | Efficient computation of principal components and singular value decompositions. |
| fit.contrast | Compute and test arbitrary contrasts for regression objects |
| fit.contrast.lm | Compute and test arbitrary contrasts for regression objects |
| fit.contrast.lme | Compute and test arbitrary contrasts for regression objects |
| glh.test | Test a General Linear Hypothesis for a Regression Model |
| make.contrasts | Construct a User-Specified Contrast Matrix |
| print.glh.test | Test a General Linear Hypothesis for a Regression Model |
| summary.glh.test | Test a General Linear Hypothesis for a Regression Model |