Package index • drmTMB

Package

Formula constructors, family objects, and status-marked model syntax.

Fitted and planned random-effect scale, structured covariance, and latent-correlation formula syntax. Each topic names its current status.

random_effect_scale_formulas sd sd1 sd2 sd_phylo sd_phylo1 sd_phylo2: Random-effect scale formula syntax
animal(): Animal-model structured-effect marker
phylo(): Phylogenetic structured-effect marker
spatial(): Spatial structured-effect marker
relmat(): User-supplied relatedness structured-effect marker
corpair(): Latent random-effect correlation formula marker

Older reserved formula markers kept out of the main reader path.

Family constructor helpers.

Fit, diagnose, summarize, predict, and simulate distributional models.

drmTMB(): Fit a distributional regression model with TMB
drm_control(): Control fitting and fitted-object storage
check_drm(): Check convergence and diagnostic flags for a drmTMB fit
confint(<drmTMB>): Confidence intervals for fitted model parameters
profile_targets(): List confidence-interval targets for a fitted model
corpairs(): Extract fitted correlation pairs
fitted(<drmTMB>): Extract fitted response values
fixef(): Extract fixed-effect coefficients
nobs(<drmTMB>) df.residual(<drmTMB>) deviance(<drmTMB>): Extract standard model-fit quantities
marginal_parameters(): Marginal summaries of predicted distributional parameters
prediction_grid(): Build prediction grids for distributional-parameter summaries
predict_parameters(): Predict distributional parameters in long format
predict(<drmTMB>): Predict distributional parameters
ranef(): Extract conditional random-effect estimates
residuals(<drmTMB>): Extract model residuals
rho12(): Extract residual correlation rho12
sigma(<drmTMB>): Extract fitted scale or dispersion
simulate(<drmTMB>): Simulate from a fitted model
summary(<drmTMB>): Summarize a fitted model
weights(<drmTMB>): Extract likelihood weights

Optional plotting helpers for post-fit tables. Exported plotting functions appear here.

plot_corpairs(): Plot fitted correlation-pair summaries
plot_parameter_surface(): Plot predicted distributional-parameter surfaces