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