Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB
Fuente:
arXiv
Saved in:
| Main Authors: | McGillycuddy, Maeve, Popovic, Gordana, Bolker, Benjamin M., Warton, David I. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Meta-analysis with the glmmTMB R package
by: Williams, Coralie, et al.
Published: (2026)
by: Williams, Coralie, et al.
Published: (2026)
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
by: Heiling, Hillary M., et al.
Published: (2023)
by: Heiling, Hillary M., et al.
Published: (2023)
Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
by: Krupskii, Pavel, et al.
Published: (2025)
by: Krupskii, Pavel, et al.
Published: (2025)
Parsimonious Ultrametric Manly Mixture Models
by: Sochaniwsky, Alexa A., et al.
Published: (2025)
by: Sochaniwsky, Alexa A., et al.
Published: (2025)
hmmTMB: hidden Markov models with flexible covariate effects in R
by: Michelot, Théo
Published: (2022)
by: Michelot, Théo
Published: (2022)
Eigengap Sparsity for Covariance Parsimony
by: Szwagier, Tom, et al.
Published: (2025)
by: Szwagier, Tom, et al.
Published: (2025)
Parsimonious Clustering of Covariance Matrices
by: Xu, Yixi, et al.
Published: (2025)
by: Xu, Yixi, et al.
Published: (2025)
Parsimonious Modeling of Periodic Time Series Using Fourier and Wavelet Techniques
by: Davis, Rhea, et al.
Published: (2025)
by: Davis, Rhea, et al.
Published: (2025)
Parsimonious Subset Selection for Generalized Linear Models with Biomedical Applications
by: Mathur, Anant, et al.
Published: (2026)
by: Mathur, Anant, et al.
Published: (2026)
A More Robust Approach to Multivariable Mendelian Randomization
by: Wu, Yinxiang, et al.
Published: (2024)
by: Wu, Yinxiang, et al.
Published: (2024)
Parsimonious Compactly Supported Covariance Models in the Gauss Hypergeometric Class: Identifiability, Reparameterizations, and Asymptotic Properties
by: Bevilacqua, Moreno, et al.
Published: (2025)
by: Bevilacqua, Moreno, et al.
Published: (2025)
Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
by: Gioia, Vincenzo, et al.
Published: (2025)
by: Gioia, Vincenzo, et al.
Published: (2025)
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)
by: Wu, Yinxiang, et al.
Published: (2025)
Highly Multivariate Large-scale Spatial Stochastic Processes -- A Cross-Markov Random Field Approach
by: Chen, Xiaoqing, et al.
Published: (2024)
by: Chen, Xiaoqing, et al.
Published: (2024)
Decomposing Multivariate Information Rates in Networks of Random Processes
by: Sparacino, Laura, et al.
Published: (2025)
by: Sparacino, Laura, et al.
Published: (2025)
The Motion Picture: Leveraging Movement to Enhance AI Object Detection in Ecology
by: Ben Maslen, et al.
Published: (2025)
by: Ben Maslen, et al.
Published: (2025)
Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
by: Szwagier, Tom, et al.
Published: (2025)
by: Szwagier, Tom, et al.
Published: (2025)
Regression Copulas for Multivariate Responses
by: Klein, Nadja, et al.
Published: (2024)
by: Klein, Nadja, et al.
Published: (2024)
Dynamic Co-Expression Network Estimation via Multivariate Mixed-Effects Models
by: Ozminkowski, Samuel, et al.
Published: (2026)
by: Ozminkowski, Samuel, et al.
Published: (2026)
Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024)
by: Neal, Mackenzie R., et al.
Published: (2024)
Log-Laplace Nuggets for Fully Bayesian Fitting of Spatial Extremes Models to Threshold Exceedances
by: Shi, Muyang, et al.
Published: (2026)
by: Shi, Muyang, et al.
Published: (2026)
Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)
by: Saduakhas, Damilya, et al.
Published: (2025)
Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)
by: Zorzetto, Dafne, et al.
Published: (2025)
Edgington's Method for Random-Effects Meta-Analysis Part II: Prediction
by: Kronthaler, David, et al.
Published: (2025)
by: Kronthaler, David, et al.
Published: (2025)
Edgington's Method for Random-Effects Meta-Analysis Part I: Estimation
by: Kronthaler, David, et al.
Published: (2025)
by: Kronthaler, David, et al.
Published: (2025)
Exact Inference for Random Effects Meta-Analyses with Small, Sparse Data
by: Gronsbell, Jessica, et al.
Published: (2023)
by: Gronsbell, Jessica, et al.
Published: (2023)
A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
by: Linden, Ariel
Published: (2026)
by: Linden, Ariel
Published: (2026)
A noisy-input generalised additive model for relative sea-level change along the Atlantic coast of North America
by: Upton, Maeve, et al.
Published: (2023)
by: Upton, Maeve, et al.
Published: (2023)
Multivariate Gaussian process emulation for multifidelity computer models with high-dimensional spatial outputs
by: McCrimmon, Cyrus S., et al.
Published: (2026)
by: McCrimmon, Cyrus S., et al.
Published: (2026)
Fitted value shrinkage
by: Ham, Daeyoung, et al.
Published: (2023)
by: Ham, Daeyoung, et al.
Published: (2023)
Network Modeling of Asynchronous Change-Points in Multivariate Time Series
by: McKee, Carson, et al.
Published: (2025)
by: McKee, Carson, et al.
Published: (2025)
Multivariable Bidirectional Mendelian Randomization via Bayesian Directed Cyclic Graphical Models with Correlated Errors
by: Sarkar, Bitan, et al.
Published: (2025)
by: Sarkar, Bitan, et al.
Published: (2025)
Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
by: Shin, Heejun, et al.
Published: (2024)
by: Shin, Heejun, et al.
Published: (2024)
A Dimension-Reduced Multivariate Spatial Model for Extreme Events: Balancing Flexibility and Scalability
by: MacDonald, Remy, et al.
Published: (2025)
by: MacDonald, Remy, et al.
Published: (2025)
Regression discontinuity design in perinatal epidemiology and birth cohort research
by: Popovic, Maja, et al.
Published: (2022)
by: Popovic, Maja, et al.
Published: (2022)
Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending
by: Hong, Taekwon, et al.
Published: (2025)
by: Hong, Taekwon, et al.
Published: (2025)
Fitting the Discrete Swept Skeletal Representation to Slabular Objects
by: Taheri, Mohsen, et al.
Published: (2024)
by: Taheri, Mohsen, et al.
Published: (2024)
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
by: Zheng, Fangnan, et al.
Published: (2026)
by: Zheng, Fangnan, et al.
Published: (2026)
Power Studies For Two-Sample and Goodness-of-Fit Methods For Multivariate Data
by: Rolke, Wolfgang
Published: (2026)
by: Rolke, Wolfgang
Published: (2026)
Generalised Linear Mixed Model Specification, Analysis, Fitting, and Optimal Design in R with the glmmr Packages
by: Watson, Samuel I.
Published: (2023)
by: Watson, Samuel I.
Published: (2023)
Similar Items
-
Meta-analysis with the glmmTMB R package
by: Williams, Coralie, et al.
Published: (2026) -
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
by: Heiling, Hillary M., et al.
Published: (2023) -
Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
by: Krupskii, Pavel, et al.
Published: (2025) -
Parsimonious Ultrametric Manly Mixture Models
by: Sochaniwsky, Alexa A., et al.
Published: (2025) -
hmmTMB: hidden Markov models with flexible covariate effects in R
by: Michelot, Théo
Published: (2022)