computeNegBinEV: Simulate quantities of interest for negative binomial models
In stevenliaotw/sltools: sltools: A collection of R functions and tools by Steven Liao
View source: R/computeNegBinEV.R
Description
This sltools function follows Zelig's simulation method and computes expected and predicted values for negative binomial models fitted to multiply imputed datasets.
Usage
1
2
Arguments
data
imputed datasets in amelia object
x
a vector of values for predictors
coef
a matrix of coefficients
vcov
a list of variance covariance matrices
num
number of simulations
theta
a vector of theta parameters from each fitted negative binomial model results
stevenliaotw/sltools documentation built on May 20, 2019, 12:31 p.m.
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View source: R/computeNegBinEV.R
Description
This sltools function follows Zelig's simulation method and computes expected and predicted values for negative binomial models fitted to multiply imputed datasets.
Usage
1 2 |
Arguments
data |
imputed datasets in amelia object |
x |
a vector of values for predictors |
coef |
a matrix of coefficients |
vcov |
a list of variance covariance matrices |
num |
number of simulations |
theta |
a vector of theta parameters from each fitted negative binomial model results |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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