fit_mle: Fit basic Poisson and Negative Binomial models using glmmTMB
In networkscaleup: Network Scale-Up Models for Aggregated Relational Data
fit_mle R Documentation
Fit basic Poisson and Negative Binomial models using glmmTMB
Description
Fit basic Poisson and Negative Binomial models using glmmTMB
Usage
fit_mle(
ard,
x_cov_global = NULL,
x_cov_local = NULL,
family = c("poisson", "nbinomial")
)
Arguments
ard
n_i by n_k ARD matrix
x_cov_global
n_i by p_global covariate matrix of global covariates
x_cov_local
n_i by p_local covariate matrix of local covariates
family
distribution to fit, either "poisson" or "nbinomial"
Value
list containing fitted model and extracted parameters
networkscaleup documentation built on Dec. 11, 2025, 1:07 a.m.
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| fit_mle | R Documentation |
Fit basic Poisson and Negative Binomial models using glmmTMB
Description
Fit basic Poisson and Negative Binomial models using glmmTMB
Usage
fit_mle(
ard,
x_cov_global = NULL,
x_cov_local = NULL,
family = c("poisson", "nbinomial")
)
Arguments
ard |
n_i by n_k ARD matrix |
x_cov_global |
n_i by p_global covariate matrix of global covariates |
x_cov_local |
n_i by p_local covariate matrix of local covariates |
family |
distribution to fit, either "poisson" or "nbinomial" |
Value
list containing fitted model and extracted parameters
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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