| Compositionalcln-package | Modelling Compositional Data with Zero Values |
| boot.clnmle | Maximum likelihood estimation of the conditional logistic normal model |
| boot.clnreg | Bootstrap for the conditional logistic normal regression |
| cln.bcr | Non-parametric confidence region of the simplicial mean on a ternary diagram |
| cln.biplot | Biplot based on the conditional logistic normal model |
| cln.condregs | Many conditional logistic normal regressions given some covariates |
| cln.contour | Contour plot of the conditional logistic normal distribution in S^2 |
| cln.cr | Confidence region of the simplicial mean on a ternary diagram |
| cln.james | James test for equality of two mean vectors based on the conditional logistic normal model |
| cln.mle | Maximum likelihood estimation of the conditional logistic normal model |
| cln.pca | Principal component analysis based on the conditional logistic normal model |
| cln.reg | Conditional logistic normal regression |
| cln.regs | Many conditional logistic normal regressions |
| cln.residplot | Residual diagnostic plot for the CLN and CLNR models |
| dcln | Density of the conditional logistic normal model |
| fbed.cln | Forward-backward with early dropping variable selection |
| ternary | Ternary diagram |