Multivariate Response Generalized Linear Models

[Up] [Top]

Documentation for package ‘MGLM’ version 0.0.8

Help Pages

MGLM-package Multivariate response generalized linear models
ddirm Calculate the log of the Dirichlet multinomial probability mass function
dgdirm Calculate the log of the 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 the log of the multinomial probability mass function
dnegmn Calculate the log of the 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 observations from the Dirichlet multinomial distribution
rgdirm Generate random observations from the generalized Dirichlet multinomial distribution
rnaseq RNA-seq count data
rnegmn Generate random observations from the negative multinomial distribution