# Generalized Additive Latent and Mixed Models

## Documentation for package ‘galamm’ version 0.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

anova.galamm | Compare likelihoods of galamm objects
appraise | Gratia style model diagnostic plots
appraise.galamm | Gratia style model diagnostic plots
coef.galamm | Extract galamm coefficients
cognition | Simulated Data with Measurements of Cognitive Abilities
confint.galamm | Confidence intervals for model parameters
derivatives | Derivatives of estimated smooth via finite differences
derivatives.galamm | Derivatives of estimated smooth via finite differences
deviance.galamm | Extract deviance of galamm object
diet | Diet Data
draw | Draw method for galamm objects
draw.galamm | Draw method for galamm objects
epilep | Epilepsy Data
extract_optim_parameters | Extract parameters from fitted model for use as initial values
extract_optim_parameters.galamm | Extract parameters from fitted model for use as initial values
factor_loadings | Extract factor loadings from galamm object
factor_loadings.galamm | Extract factor loadings from galamm object
family.galamm | Extract family or families from fitted galamm
fitted.galamm | Extract model fitted values
fixef | Extract fixed effects from galamm objects
fixef.galamm | Extract fixed effects from galamm objects
formula.galamm | Extract formula from fitted galamm object
galamm | Fit a generalized additive latent and mixed model
galammObject | Class "galamm"
galamm_control | Control values for galamm fit
gfam | Grouped families
hsced | Example Data with Heteroscedastic Residuals
latent_covariates | Simulated Data with Latent and Observed Covariates Interaction
latent_covariates_long | Simulated Longitudinal Data with Latent and Observed Covariates Interaction
lifespan | Simulated Dataset with Lifespan Trajectories of Three Cognitive Domains
logLik.galamm | Extract Log-Likelihood of galamm Object
model.frame.galamm | Extract the model frame from a galamm object
mresp | Simulated Mixed Response Data
mresp_hsced | Simulated Mixed Response Data with Heteroscedastic Residuals
nobs.galamm | Extract the Number of Observations from a galamm Fit
plot.galamm | Diagnostic plots for galamm objects
plot_smooth | Plot smooth terms for galamm fits
plot_smooth.galamm | Plot smooth terms for galamm fits
predict.galamm | Predictions from a model at new data values
print.galamm | Print method for GALAMM fits
print.summary.galamm | Print method for summary GALAMM fits
print.VarCorr.galamm | Print method for variance-covariance objects
qqmath | Quantile-quantile plots for galamm objects
qqmath.galamm | Quantile-quantile plots for galamm objects
ranef | Extract random effects from galamm object.
ranef.galamm | Extract random effects from galamm object.
residuals.galamm | Residuals of galamm objects
response | Extract response values
s | Set up smooth term with factor loading
sigma.galamm | Extract square root of dispersion parameter from galamm object
sl | Set up smooth term with factor loading
summary.galamm | Summarizing GALAMM fits
t2 | Set up smooth term with factor loading
t2l | Set up smooth term with factor loading
VarCorr | Extract variance and correlation components from model
VarCorr.galamm | Extract variance and correlation components from model
vcov.galamm | Calculate variance-covariance matrix for GALAMM fit