glm_negbin: MLE for negative binomial with interfered responses
In samorso/IBpaper: Code for the paper "A Flexible Bias Correction Method based on Inconsistent Estimators"
glm_negbin R Documentation
MLE for negative binomial with interfered responses
Description
Implementation of the MLE for negative binomial regression
with interfered responses: one observes \max(y_i,z_i),
where y_i is the negative binomial response and z_i
is a Poisson random variable with mean λ.
Usage
glm_negbin(y, x, lambda, maxit = 50L, epsilon = 1e-07, trace = FALSE)
Arguments
y
response vector
x
design matrix
lambda
mean parameter for Poisson censoring process
maxit
maximum number of iteration
epsilon
tolerance parameter
trace
boolean for printing information
samorso/IBpaper documentation built on April 29, 2022, 10:21 p.m.
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| glm_negbin | R Documentation |
MLE for negative binomial with interfered responses
Description
Implementation of the MLE for negative binomial regression with interfered responses: one observes \max(y_i,z_i), where y_i is the negative binomial response and z_i is a Poisson random variable with mean λ.
Usage
glm_negbin(y, x, lambda, maxit = 50L, epsilon = 1e-07, trace = FALSE)
Arguments
y |
response vector |
x |
design matrix |
lambda |
mean parameter for Poisson censoring process |
maxit |
maximum number of iteration |
epsilon |
tolerance parameter |
trace |
boolean for printing information |
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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