The following pages link to lme4 (Q16687):
Displaying 50 items.
- crctStepdown (Q1334349) (← links)
- PBImisc (Q1334506) (← links)
- tramME (Q1350246) (← links)
- cvms (Q1350350) (← links)
- GLMMRR (Q1350745) (← links)
- predint (Q1351217) (← links)
- ptmixed (Q1353303) (← links)
- dmlalg (Q1354062) (← links)
- BayesLN (Q1354328) (← links)
- Improving estimates of Fried's index from mating competitiveness experiments (Q1618188) (← links)
- Nonparametric estimation of the mixing distribution in logistic regression mixed models with random intercepts and slopes (Q1621298) (← links)
- Causal inference with observational data under cluster-specific non-ignorable assignment mechanism (Q1658137) (← links)
- A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure (Q1662050) (← links)
- A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects (Q1682443) (← links)
- Modeling learning in doubly multilevel binary longitudinal data using generalized linear mixed models: an application to measuring and explaining word learning (Q1682455) (← links)
- Using cross-classified structural equation models to examine the accuracy of personality judgments (Q1695643) (← links)
- Tackling longitudinal round-robin data: a social relations growth model (Q1695751) (← links)
- Statistical properties of simple random-effects models for genetic heritability (Q1697480) (← links)
- A spatial hierarchical model for abundance of three ice-associated seal species in the eastern Bering Sea (Q1731172) (← links)
- The statistical structures of reinforcement learning with asymmetric value updates (Q1736016) (← links)
- Accounting for estimation uncertainty and shrinkage in Bayesian within-subject intervals: a comment on Nathoo, Kilshaw, and Masson (2018) (Q1736022) (← links)
- Multiple imputation for multilevel data with continuous and binary variables (Q1799343) (← links)
- Bootstrap estimation of uncertainty in prediction for generalized linear mixed models (Q1799868) (← links)
- Mantel-Haenszel estimators of odds ratios for stratified dependent binomial data (Q1927046) (← links)
- Generalized linear models with clustered data: fixed and random effects models (Q1942893) (← links)
- Regression trees for longitudinal and multiresponse data (Q1951544) (← links)
- Evaluating machine learning methods for estimation in online surveys with superpopulation modeling (Q1998585) (← links)
- Additive and multiplicative effects network models (Q2038284) (← links)
- Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis (Q2045662) (← links)
- Fisher scoring for crossed factor linear mixed models (Q2058792) (← links)
- Estimating variances in time series kriging using convex optimization and empirical BLUPs (Q2065314) (← links)
- Mapping unobserved item-respondent interactions: a latent space item response model with interaction map (Q2066583) (← links)
- Investigating heterogeneity in meta-analysis of studies with rare events. Estimating the amount of heterogeneity (Q2070654) (← links)
- Model averaging for linear mixed models via augmented Lagrangian (Q2072389) (← links)
- Functional random effects modeling of brain shape and connectivity (Q2080727) (← links)
- Multi-level block designs for comparative experiments (Q2084365) (← links)
- Scalable logistic regression with crossed random effects (Q2084457) (← links)
- Estimation of effect heterogeneity in rare events meta-analysis (Q2088929) (← links)
- Computation and application of generalized linear mixed model derivatives using \textit{lme4} (Q2088938) (← links)
- Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features (Q2095774) (← links)
- Dispersion parameter extension of precise generalized linear mixed model asymptotics (Q2105356) (← links)
- Joint modeling for longitudinal covariate and binary outcome via h-likelihood (Q2111319) (← links)
- Backfitting for large scale crossed random effects regressions (Q2119243) (← links)
- A monotone frequentist measure of evidence for testing variance components in linear mixed models (Q2123254) (← links)
- A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data (Q2129581) (← links)
- A fast regression via SVD and marginalization (Q2135884) (← links)
- Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding (Q2141660) (← links)
- Confidence regions near singular information and boundary points with applications to mixed models (Q2148999) (← links)
- A systematic study into the factors that affect the predictive accuracy of multilevel VAR(1) models (Q2152398) (← links)
- Two filtering methods of forecasting linear and nonlinear dynamics of intensive longitudinal data (Q2152401) (← links)
