Crossed Random Effects Model with Persistence Parameters | $$\begin | Multi-Trait Multi-Rater Model | $$\begin | $$\begin | References

Mixed Normal and Binomial Response | Mixed Response and Heteroscedastic Residuals | Covariate Measurement Error Model | Structural Model | Measurement Model | Disease Model | Nonlinear Predictor | Estimating the Model with galamm | Comparison to a Model with Indirect Effect Only | References

High-Level Overview | Modifying the L-BFGS-B algorithm | Optimization with the Nelder-Mead algorithm | Implementation Details | Future Improvements | References

Generalized Additive Mixed Models | Gaussian Responses | Binomial Responses | Generalized Additive Models with Factor Structures | Smooth Terms with Loadings and Factor Interactions | Mixed Gaussian and Binomial Responses | References

Model with Binomially Distributed Responses | Binomial Model with Multiple Trials | Model with Poisson Distributed Responses | References

Group-Wise Heteroscedasticity | References

Linear Mixed Model with Latent Covariates | Model Formulation | $$\begin | Model Without Interaction | Linear Interaction Between Observed and Latent Covariates | Interaction Between Latent Covariate and a Quadratic Term | Models with Additional Random Effects | Model with Smooth Terms | References

Generalized Additive Latent and Mixed Models | Response Model | Nonlinear Predictor | Structural Model | Mixed Model Representation | Maximum Marginal Likelihood Estimation | Evaluating the Marginal Likelihood | Maximizing the Marginal Likelihood | Example Models | References

Linear Mixed Models with Factor Structures | Model with Group-Wise Heteroscedasticity | Generalized Linear Mixed Models with Factor Structures | Semiparametric Model with Gaussian Responses | Semiparametric Model with Binomial Responses | Conclusion | References

Confidence intervals for extrema of a smooth function | References

Measurement Error in Regression | Classical Measurement Error Problems | Measurement Error in High-Dimensional Regression Problems | The lasso | The Dantzig Selector | Generalized Dantzig Selector | Corrected Lasso | Corrected Lasso for Linear Regression | Linear Regression | Corrected Lasso for Generalized Linear Models | Logistic Regression | Poison Regression | Model Tuning | Matrix Uncertainty Selector | Generalized Matrix Uncertainty Selector | Poisson Regression | Generalized Matrix Uncertainty Lasso | References

Basic Usage Example | References

What can go wrong when combining p-values? | A better way to compute p-values? | Simultaneous confidence intervals | Combining simultaneous confidence intervals | Does it work? | References

Simulation | Fit GAMs | Meta-Analysis | Dominance Analysis

Simulation | Fit GAMs | Meta-Analysis | References

GAMs with Tensor Interaction Terms | Fitting GAMs with Tensor Interaction Terms and Removing Rawdata | Meta-Analyzing GAMs with Tensor Interaction Terms | References