# Various R Programming Tools for Model Fitting

## Documentation for package ‘gmodels’ version 2.19.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

.to.est | Return a vector for cm in estimable()
ci | Compute Confidence Intervals
ci.binom | Compute Confidence Intervals
ci.estimable | Compute Confidence Intervals
ci.fit_contrast | 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
est_p_ci | Display estimate, confidence interval and p-value for one model term
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