Reference health
glmmTMB: Generalized Linear Mixed Models using Template Model Builder
16/16 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
The 16 checked references that resolve
resolves10.32614/RJ-2017-066
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
resolves10.18637/jss.v112.i01
Parsimoniously Fitting Large Multivariate Random Effects in <b>glmmTMB</b>
resolves10.1198/016214504000000980
Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
resolves10.1016/j.apm.2017.12.014
On the Bell distribution and its associated regression model for count data
resolves10.1002/bimj.200410102
Generalized Poisson Distribution: the Property of Mixture of Poisson and Comparison with Negative Binomial Distribution
resolves10.1890/10-1831.1
Using the negative binomial distribution to model overdispersion in ecological count data
resolves10.1016/j.anbehav.2007.01.027
Nestling barn owls beg more intensely in the presence of their mother than in the presence of their father
resolves10.1111/1365-2664.12585
Effects of mountaintop removal mining and valley filling on the occupancy and abundance of stream salamanders
resolves10.5061/dryad.5m8f6
Data from: Effects of mountaintop removal mining and valley filling on the occupancy and abundance of stream salamanders
resolves10.1111/2041-210X.13303
gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in <scp>r</scp>
resolves10.1111/2041-210X.13407
The use of Bayesian priors in Ecology: The good, the bad and the not great
resolves10.1007/s11336-013-9328-2
A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models
resolves10.1145/3313831.3376377
Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis
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