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 |