| MGLM-package | Multivariate response generalized linear models |
| ddirm | Calculate log of Dirichlet multinomial probability mass function |
| dgdirm | Calculate log of generalized Dirichlet multinomial probability mass function |
| dist | Details of the distributions |
| DMD.DM.fit | Fit multivariate discrete distributions |
| DMD.DM.reg | Fit multivariate response GLM regression |
| DMD.GDM.fit | Fit multivariate discrete distributions |
| DMD.GDM.reg | Fit multivariate response GLM regression |
| DMD.MN.reg | Fit multivariate response GLM regression |
| DMD.NegMN.Alpha.reg | Fit multivariate response GLM regression |
| DMD.NegMN.fit | Fit multivariate discrete distributions |
| DMD.NegMN.reg | Fit multivariate response GLM regression |
| dmn | Calculate log of multinomial probability mass function |
| dnegmn | Calculate log of negative multinomial probability mass function |
| kr | Khatri-Rao product of two matrices |
| MGLM | Multivariate response generalized linear models |
| MGLMfit | Fit multivariate discrete distributions |
| MGLMfit-class | Class '"MGLMfit"' |
| MGLMreg | Fit multivariate response GLM regression |
| MGLMreg-class | Class '"MGLMreg"' |
| MGLMsparsereg | Fit multivariate GLM sparse regression |
| MGLMsparsereg-class | Class '"MGLMsparsereg"' |
| MGLMsparsereg.fit | Fit multivariate GLM sparse regression |
| MGLMtune | Choose the tuning parameter value in sparse regression. |
| MGLMtune-class | Class '"MGLMtune"' |
| predict-method | Predict using the fitted model |
| predict-methods | Predict using the fitted model |
| print-method | Class '"MGLMtune"' |
| print-method | Print out the defined objects |
| print-methods | Print out the defined objects |
| rdirm | Generate random deviates from the Dirichlet multinomial distribution |
| rgdirm | Generate random deviates from the generalized Dirichlet multinomial distribution |
| rnaseq | RNA-seq count data |
| rnegmn | Generate random deviates from the negative multinomial distribution |