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confidence intervals for smooths", "topics": [ "confint.gam", "confint.gamm", "confint.gamm4", "confint.scam" ] }, { "page": "data_combos", "title": "All combinations of factor levels plus typical values of continuous variables", "topics": [ "data_combos", "data_combos.gam", "data_combos.gamm4" ] }, { "page": "data_sim", "title": "Simulate example data for fitting GAMs", "topics": [ "data_sim" ] }, { "page": "data_sim_families", "title": "Generating responses with mgcv family objects", "topics": [ "data_sim_families" ] }, { "page": "data_sim_shapes", "title": "Reference functions for shape-constrained GAMs", "topics": [ "data_sim_shapes" ] }, { "page": "data_slice", "title": "Prepare a data slice through model covariates", "topics": [ "data_slice", "data_slice.data.frame", "data_slice.default", "data_slice.gam", "data_slice.gamm", "data_slice.gamm4", "data_slice.scam" ] }, { "page": "derivative_samples", "title": "Posterior expectations of derivatives from an estimated model", "topics": [ "derivative_samples", "derivative_samples.default", "derivative_samples.gam", "derivative_samples.gamm", "derivative_samples.gamm4", "derivative_samples.scam" ] }, { "page": "derivatives", "title": "Derivatives of estimated smooths via finite differences", "topics": [ "derivatives", "derivatives.default", "derivatives.gam", "derivatives.gamm", "derivatives.gamm4", "derivatives.scam" ] }, { "page": "dharma_residuals", "title": "Simulation-based PIT residuals", "topics": [ "dharma_residuals" ] }, { "page": "diagnostic_support", "title": "Model diagnostic support and conventions", "topics": [ "diagnostic_support" ] }, { "page": "difference_smooths", "title": "Differences of factor smooth interactions", "topics": [ "difference_smooths", "difference_smooths.gam", "difference_smooths.scam" ] }, { "page": "dispersion", "title": "Dispersion parameter for fitted model", "topics": [ "dispersion", "dispersion.gam", "dispersion.gamm4", "dispersion.glm", "dispersion.scam" ] }, { "page": "draw", "title": "Generic plotting via 'ggplot2'", "topics": [ "draw" ] }, { "page": "draw_label_control", "title": "Control label layout in gratia plots", "topics": [ "draw_label_control" ] }, { "page": "draw.ale", "title": "Plot accumulated local effects", "topics": [ "draw.ale" ] }, { "page": "draw.basis", "title": "Plot basis functions", "topics": [ "draw.basis" ] }, { "page": "draw.compare_smooths", "title": "Plot comparisons of smooths", "topics": [ "draw.compare_smooths" ] }, { "page": "draw.conditional_differences", "title": "Plot conditional differences", "topics": [ "draw.conditional_differences" ] }, { "page": "draw.conditional_moments", "title": "Draw conditional response moments", "topics": [ "draw.conditional_moments" ] }, { "page": "draw.conditional_values", "title": "Plot conditional predictions", "topics": [ "draw.conditional_values" ] }, { "page": "draw.derivatives", "title": "Plot derivatives of smooths", "topics": [ "draw.derivatives", "draw.partial_derivatives" ] }, { "page": "draw.difference_smooth", "title": "Plot differences of smooths", "topics": [ "draw.difference_smooth" ] }, { "page": "draw.evaluated_parametric_term", "title": "Plot estimated parametric effects", "topics": [ "draw.evaluated_parametric_term" ] }, { "page": "draw.gam", "title": "Plot smooth and parametric terms from a fitted GAM", "topics": [ "draw.gam", "draw.gamm", "draw.scam", "draw.scasm" ] }, { "page": "draw.gamlss", "title": "Plot smooths of models estimated by GJRM", "topics": [ "assemble.gamlss", "assemble.gjrm", "draw.gamlss", "draw.gjrm" ] }, { "page": "draw.mgcv_smooth", "title": "Plot basis functions", "topics": [ "draw.mgcv_smooth" ] }, { "page": "draw.pairwise_concurvity", "title": "Plot concurvity measures", "topics": [ "draw.overall_concurvity", "draw.pairwise_concurvity" ] }, { "page": "draw.parametric_effects", "title": "Plot estimated effects for model parametric terms", "topics": [ "draw.parametric_effects" ] }, { "page": "draw.penalty_df", "title": "Display penalty matrices of smooths using 'ggplot'", "topics": [ "draw.penalty_df" ] }, { "page": "draw.rootogram", "title": "Draw a rootogram", "concept": [ "draw methods" ], "topics": [ "draw.rootogram" ] }, { "page": "draw.sampling_diagnostics", "title": "Plot coefficient-chain diagnostics", "topics": [ "draw.sampling_diagnostics" ] }, { "page": "draw.smooth_estimates", "title": "Plot the result of a call to 'smooth_estimates()'", "topics": [ "draw.smooth_estimates" ] }, { "page": "draw.smooth_samples", "title": "Plot posterior smooths", "topics": [ "draw.smooth_samples" ] }, { "page": "draw.variance_comp", "title": "Plot variance components and proportions of term variance", "topics": [ "draw.variance_comp" ] }, { "page": "edf", "title": "Effective degrees of freedom for smooths and GAMs", "topics": [ "edf", "edf.gam", "edf.gamm4", "edf.scam", "model_edf" ] }, { "page": "eval_smooth", "title": "S3 methods to evaluate individual smooths", "topics": [ "eval_smooth", "eval_smooth.fs.interaction", "eval_smooth.mgcv.smooth", "eval_smooth.mrf.smooth", "eval_smooth.random.effect", "eval_smooth.scam_smooth", "eval_smooth.soap.film", "eval_smooth.sz.interaction", "eval_smooth.t2.smooth", "eval_smooth.tensor.smooth" ] }, { "page": "evaluate_parametric_term", "title": "Evaluate parametric model terms", "topics": [ "evaluate_parametric_term", "evaluate_parametric_term.gam", "evaluate_parametric_term.gamm4" ] }, { "page": "evaluate_smooth", "title": "Evaluate a smooth", "topics": [ "evaluate_smooth" ] }, { "page": "evenly", "title": "Create a sequence of evenly-spaced values", "topics": [ "all_levels", "evenly", "seq_min_max" ] }, { "page": "factor_combos", "title": "All combinations of factor levels", "topics": [ "factor_combos", "factor_combos.gam", "factor_combos.gamm4" ] }, { "page": "family_diagnostics", "title": "Extend diagnostics for an mgcv-compatible family", "topics": [ "family_diagnostics" ] }, { "page": "family_name", "title": "Name of family used to fit model", "topics": [ "family_name" ] }, { "page": "family_parameters", "title": "Describe a model family's distribution parameters", "topics": [ "family_parameters" ] }, { "page": "family_type", "title": "Extracts the type of family in a consistent way", "topics": [ "family_type", "family_type.default", "family_type.family" ] }, { "page": "family.gam", "title": "Extract family objects from models", "topics": [ "family.bam", "family.gam", "family.gamm", "family.gamm4" ] }, { "page": "fitted_moments", "title": "Estimate moments of the conditional response distribution", "topics": [ "fitted_moments", "fitted_moments.gam" ] }, { "page": "fitted_samples", "title": "Draw fitted values from the posterior distribution", "topics": [ "fitted_samples", "fitted_samples.gam", "fitted_samples.gamm4", "fitted_samples.scam" ] }, { "page": "fitted_values", "title": "Generate fitted values from a estimated GAM", "topics": [ "fitted_values", "fitted_values.gam", "fitted_values.gamm", "fitted_values.gamm4", "fitted_values.scam" ] }, { "page": "fix_offset", "title": "Fix the names of a data frame containing an offset variable.", "topics": [ "fix_offset" ] }, { "page": "fixed_effects.gam", "title": "Extract fixed effects estimates from a fitted model", "topics": [ "fixed_effects", "fixed_effects.default", "fixed_effects.gam", "fixed_effects.gamm", "fixed_effects.gamm4", "fixed_effects.glm", "fixed_effects.lm", "fixed_effects.scam" ] }, { "page": "gamm4_support", "title": "Support for models fitted by gamm4", "topics": [ "gamm4_support" ] }, { "page": "gaussian_draws", "title": "Posterior samples using a Gaussian approximation", "topics": [ "gaussian_draws", "gaussian_draws.gam", "gaussian_draws.gamm4", "gaussian_draws.scam" ] }, { "page": "get_by_smooth", "title": "Extract an factor-by smooth by name", "topics": [ "get_by_smooth" ] }, { "page": "get_smooth", "title": "Extract an mgcv smooth by name", "topics": [ "get_smooth" ] }, { "page": "get_smooths_by_id", "title": "Extract an mgcv smooth given its position in the model object", "topics": [ "get_smooths_by_id", "get_smooths_by_id.gam", "get_smooths_by_id.gamm", "get_smooths_by_id.gamm4", "get_smooths_by_id.scam" ] }, { "page": "get_vcov", "title": "Extract the covariance matrix of the model parameters or a subset of these for a particular model term", "topics": [ "get_vcov", "get_vcov.scam" ] }, { "page": "gratia_palette", "title": "Discrete palettes for gratia plots", "topics": [ "gratia_palette" ] }, { "page": "gratia_theme_get", "title": "Native themes for gratia plots", "topics": [ "gratia_theme_get", "gratia_theme_set", "gratia_theme_update" ] }, { "page": "gss_vocab", "title": "Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago", "topics": [ "gss_vocab" ] }, { "page": "gw_functions", "title": "Gu and Wahba test functions", "topics": [ "gw_f0", "gw_f1", "gw_f2", "gw_f3", "gw_functions" ] }, { "page": "has_theta", "title": "Are additional parameters available for a GAM?", "topics": [ "has_theta" ] }, { "page": "is_by_smooth", "title": "Tests for by variable smooths", "topics": [ "by_level", "by_variable", "is_by_smooth", "is_continuous_by_smooth", "is_factor_by_smooth" ] }, { "page": "is_factor_term", "title": "Is a model term a factor (categorical)?", "topics": [ "is_factor_term", "is_factor_term.bam", "is_factor_term.gam", "is_factor_term.gamm", "is_factor_term.gamm4", "is_factor_term.list", "is_factor_term.terms" ] }, { "page": "is_mgcv_family", "title": "Is an object one of mgcv's family objects?", "topics": [ "is_mgcv_family" ] }, { "page": "is_mgcv_smooth", "title": "Check if objects are smooths or are a particular type of smooth", "topics": [ "check_is_mgcv_smooth", "is_mgcv_smooth", "is_mrf_smooth", "stop_if_not_mgcv_smooth" ] }, { "page": "is_multivariate_y", "title": "Is a model multivariate?", "topics": [ "is_multivariate_y" ] }, { "page": "is_offset", "title": "Is a model term an offset?", "topics": [ "is_offset" ] }, { "page": "link", "title": "Extract link and inverse link functions from models", "topics": [ "extract_link", "extract_link.family", "extract_link.general.family", "inv_link", "inv_link.bam", "inv_link.family", "inv_link.gam", "inv_link.gamm", "inv_link.gamm4", "inv_link.glm", "link", "link.bam", "link.family", "link.gam", "link.gamm", "link.gamm4", "link.glm" ] }, { "page": "load_mgcv", "title": "Load mgcv quietly", "topics": [ "load_mgcv" ] }, { "page": "log_lik", "title": "Posterior draws of pointwise log likelihoods", "topics": [ "log_lik", "log_lik.bam", "log_lik.gam", "log_lik.scam" ] }, { "page": "loo.gam", "title": "Leave-one-out validation and WAIC for GAMs", "topics": [ "loo.bam", "loo.gam", "loo.scam", "waic.bam", "waic.gam", "waic.scam" ] }, { "page": "lp_matrix", "title": "Return the linear prediction matrix of a fitted GAM", "topics": [ "lp_matrix", "lp_matrix.gam", "lp_matrix.gamm4", "lp_matrix.scam", "model.matrix.scam" ] }, { "page": "mh_draws", "title": "Posterior samples using Metropolis Hastings", "topics": [ "mh_draws", "mh_draws.gam", "mh_draws.gamm4", "mh_draws.scam" ] }, { "page": "model_concurvity", "title": "Concurvity of an estimated GAM", "topics": [ "concrvity", "model_concurvity", "model_concurvity.gam", "model_concurvity.gamm4", "model_concurvity.scam" ] }, { "page": "model_constant", "title": "Extract the model constant term", "topics": [ "model_constant", "model_constant.gam", "model_constant.gamlss", "model_constant.gamm4", "model_constant.glm", "model_constant.scam" ] }, { "page": "model_terms", "title": "Find the names of model terms", "topics": [ "model_terms", "model_terms.gam", "model_terms.gamm", "model_terms.gamm4", "model_terms.lm", "model_terms.scam" ] }, { "page": "model_vars", "title": "List the variables involved in a model fitted with a formula", "topics": [ "model_vars", "model_vars.bam", "model_vars.default", "model_vars.gam", "model_vars.gamm", "model_vars.gamm4", "model_vars.scam" ] }, { "page": "n_eta", "title": "The Number of linear predictors in model", "topics": [ "n_eta", "n_eta.gam", "n_eta.gamm4", "n_eta.scam" ] }, { "page": "n_smooths", "title": "How many smooths in a fitted model", "topics": [ "n_smooths", "n_smooths.bam", "n_smooths.default", "n_smooths.gam", "n_smooths.gamm", "n_smooths.gamm4", "n_smooths.gjrm", "n_smooths.glmmTMB" ] }, { "page": "nb_theta", "title": "Negative binomial parameter theta", "topics": [ "nb_theta", "nb_theta.gam", "nb_theta.gamm4" ] }, { "page": "null_deviance", "title": "Extract the null deviance of a fitted model", "topics": [ "null_deviance", "null_deviance.default" ] }, { "page": "observed_fitted_plot", "title": "Plot of fitted against observed response values", "topics": [ "observed_fitted_plot" ] }, { "page": "overview", "title": "Provides an overview of a model and the terms in that model", "topics": [ "overview", "overview.gam", "overview.gamm4", "overview.scam" ] }, { "page": "parametric_effects", "title": "Estimated values for parametric model terms", "topics": [ "parametric_effects", "parametric_effects.gam", "parametric_effects.gamm4", "parametric_effects.scam" ] }, { "page": "parametric_terms", "title": "Names of any parametric terms in a GAM", "topics": [ "parametric_terms", "parametric_terms.default", "parametric_terms.gam", "parametric_terms.gamm4", "parametric_terms.scam" ] }, { "page": "partial_derivatives", "title": "Partial derivatives of estimated multivariate smooths via finite differences", "topics": [ "partial_derivatives", "partial_derivatives.default", "partial_derivatives.gam", "partial_derivatives.gamm", "partial_derivatives.gamm4", "partial_derivatives.scam" ] }, { "page": "partial_residuals", "title": "Partial residuals", "topics": [ "partial_residuals", "partial_residuals.gam", "partial_residuals.scam" ] }, { "page": "penalty", "title": "Extract and tidy penalty matrices", "topics": [ "penalty", "penalty.default", "penalty.gam", "penalty.gamm4", "penalty.mgcv.smooth", "penalty.re.smooth.spec", "penalty.scam", "penalty.t2.smooth", "penalty.tensor.smooth" ] }, { "page": "post_draws", "title": "Low-level Functions to generate draws from the posterior distribution of model coefficients", "topics": [ "generate_draws", "generate_draws.gam", "generate_draws.gamm4", "generate_draws.scam", "post_draws", "post_draws.default", "post_draws.gamm4" ] }, { "page": "posterior_predictive_plot", "title": "Posterior predictive check of the response distribution", "topics": [ "posterior_predictive_plot" ] }, { "page": "posterior_samples", "title": "Draw samples from the posterior distribution of an estimated model", "topics": [ "posterior_samples", "posterior_samples.gam", "posterior_samples.gamlss", "posterior_samples.gamm", "posterior_samples.gamm4", "posterior_samples.glm", "posterior_samples.glmmTMB", "posterior_samples.lm", "posterior_samples.lme", "posterior_samples.merMod", "posterior_samples.scam", "posterior_samples.sdmTMB" ] }, { "page": "pp_check", "title": "Posterior checks with bayesplot", "topics": [ "pp_check", "pp_check.bam", "pp_check.gam", "pp_check.gamm", "pp_check.gamm4", "pp_check.scam" ] }, { "page": "predicted_samples", "title": "Draw new response values from the conditional distribution of the response", "topics": [ "predicted_samples", "predicted_samples.default", "predicted_samples.gam", "predicted_samples.gamm4", "predicted_samples.scam" ] }, { "page": "qq_plot", "title": "Quantile-quantile plot of model residuals", "topics": [ "qq_plot", "qq_plot.default", "qq_plot.gam", "qq_plot.gamlss", "qq_plot.gamm", "qq_plot.gamm4", "qq_plot.gjrm", "qq_plot.glm", "qq_plot.gratia_diagnostic_proxy", "qq_plot.lm", "qq_plot.lme", "qq_plot.merMod", "qq_plot.sdmTMB" ] }, { "page": "glmmTMB-methods", "title": "Effects and diagnostics for glmmTMB models", "topics": [ "appraise.glmmTMB", "assemble.glmmTMB", "draw.glmmTMB", "get_smooths_by_id.glmmTMB", "glmmTMB-methods", "parametric_effects.glmmTMB", "parametric_terms.glmmTMB", "qq_plot.glmmTMB", "smooths.glmmTMB", "smooth_coefs.glmmTMB", "smooth_estimates.glmmTMB", "worm_plot.glmmTMB" ] }, { "page": "quantile_residuals", "title": "PIT and randomised quantile residuals", "topics": [ "quantile_residuals", "quantile_residuals.default", "quantile_residuals.gam", "quantile_residuals.gamlss", "quantile_residuals.gamm", "quantile_residuals.gamm4", "quantile_residuals.gjrm", "quantile_residuals.glm", "quantile_residuals.glmmTMB", "quantile_residuals.gratia_diagnostic_proxy", "quantile_residuals.gratia_glmmtmb_diagnostic", "quantile_residuals.lm", "quantile_residuals.lme", "quantile_residuals.merMod", "quantile_residuals.sdmTMB" ] }, { "page": "random_effect_samples", "title": "Draw new random effects from an estimated GAM", "topics": [ "random_effect_samples" ] }, { "page": "ref_level", "title": "Return the reference or specific level of a factor", "topics": [ "level", "ref_level" ] }, { "page": "ref_sims", "title": "Reference simulation data", "topics": [ "ref_sims" ] }, { "page": "rep_first_factor_value", "title": "Repeat the first level of a factor n times", "topics": [ "rep_first_factor_value" ] }, { "page": "residual_correlation", "title": "Ordered residual correlation diagnostics", "topics": [ "residual_correlation", "residual_correlation_plot" ] }, { "page": "residuals_covariate_plot", "title": "Plot residuals against covariates", "topics": [ "residuals_covariate_plot", "scalable_residuals_covariate_plot" ] }, { "page": "residuals_hist_plot", "title": "Histogram of model residuals", "topics": [ "residuals_hist_plot" ] }, { "page": "residuals_linpred_plot", "title": "Plot of residuals versus linear predictor values", "topics": [ "residuals_linpred_plot" ] }, { "page": "response_derivatives", "title": "Derivatives on the response scale from an estimated GAM", "topics": [ "response_derivatives", "response_derivatives.default", "response_derivatives.gam", "response_derivatives.gamm", "response_derivatives.gamm4", "response_derivatives.scam" ] }, { "page": "rootogram", "title": "Rootograms to assess goodness of model fit", "topics": [ "rootogram", "rootogram.gam", "rootogram.gamm4", "rootogram.scam" ] }, { "page": "rtw", "title": "Simulator for tweedie LSS models", "topics": [ "rtw" ] }, { "page": "sampling_diagnostics", "title": "Extract coefficient-sampler diagnostics", "topics": [ "print.sampling_diagnostics", "sampling_diagnostics" ] }, { "page": "scalable_qq_plot", "title": "Scalable model diagnostic plots", "topics": [ "scalable_observed_fitted_plot", "scalable_qq_plot", "scalable_residuals_hist_plot", "scalable_residuals_linpred_plot", "scalable_worm_plot" ] }, { "page": "scale_fill_partial_effect", "title": "Default diverging red-blue colour palette for partial effects", "topics": [ "scale_fill_partial_effect" ] }, { "page": "sdmTMB-methods", "title": "Formula effects for sdmTMB models", "topics": [ "assemble.sdmTMB", "draw.sdmTMB", "get_smooths_by_id.sdmTMB", "n_smooths.sdmTMB", "parametric_effects.sdmTMB", "parametric_terms.sdmTMB", "sdmTMB-methods", "smooths.sdmTMB", "smooth_coefs.sdmTMB", "smooth_estimates.sdmTMB" ] }, { "page": "seq_min_max_eps", "title": "Create a sequence of evenly-spaced values adjusted to accommodate a small adjustment", "topics": [ "seq_min_max_eps" ] }, { "page": "shape_confidence_set", "title": "Intersect a band with linear restrictions on coefficients", "topics": [ "in_shape_set", "shape_confidence_set" ] }, { "page": "shape_intervals", "title": "Enforce named shapes on estimates and interval endpoints", "topics": [ "shape_intervals" ] }, { "page": "shift_values", "title": "Shift numeric values in a data frame by an amount 'eps'", "topics": [ "shift_values" ] }, { "page": "simulate", "title": "Simulate responses from a fitted model", "topics": [ "simulate", "simulate.gam", "simulate.gamlss", "simulate.gamm", "simulate.gamm4", "simulate.scam" ] }, { "page": "simultaneous_bands", "title": "Simultaneous bands on an evaluation grid or a continuous interval", "topics": [ "simultaneous_bands" ] }, { "page": "smallAges", "title": "Lead-210 age-depth measurements for Small Water", "topics": [ "smallAges" ] }, { "page": "smooth_coef_indices", "title": "Indices of the parametric terms for a particular smooth", "topics": [ "smooth_coef_indices" ] }, { "page": "smooth_coefs", "title": "Coefficients for a particular smooth", "topics": [ "smooth_coefs", "smooth_coefs.bam", "smooth_coefs.gam", "smooth_coefs.gamm", "smooth_coefs.gamm4", "smooth_coefs.mgcv.smooth", "smooth_coefs.scam" ] }, { "page": "smooth_data", "title": "Generate regular data over the covariates of a smooth", "topics": [ "smooth_data" ] }, { "page": "smooth_dim", "title": "Dimension of a smooth", "topics": [ "smooth_dim", "smooth_dim.gam", "smooth_dim.gamm", "smooth_dim.gamm4", "smooth_dim.mgcv.smooth" ] }, { "page": "smooth_estimates", "title": "Evaluate smooths at covariate values", "topics": [ "smooth_estimates", "smooth_estimates.gam", "smooth_estimates.gamlss", "smooth_estimates.gjrm" ] }, { "page": "smooth_label", "title": "Extract the label for a smooth used by 'mgcv'", "topics": [ "smooth_label", "smooth_label.gam", "smooth_label.gamm4", "smooth_label.mgcv.smooth" ] }, { "page": "smooth_samples", "title": "Posterior draws for individual smooths", "topics": [ "smooth_samples", "smooth_samples.gam", "smooth_samples.gamm4" ] }, { "page": "smooth_terms", "title": "List the variables involved in smooths", "topics": [ "smooth_terms", "smooth_terms.gamm4", "smooth_terms.scam" ] }, { "page": "smooth_type", "title": "Determine the type of smooth and return it in a human readable form", "topics": [ "smooth_type", "smooth_type.Bspline.smooth", "smooth_type.cpopspline.smooth", "smooth_type.cpspline.smooth", "smooth_type.cr.smooth", "smooth_type.cs.smooth", "smooth_type.cv.smooth", "smooth_type.cvBy.smooth", "smooth_type.cx.smooth", "smooth_type.cxBy.smooth", "smooth_type.cyclic.smooth", "smooth_type.default", "smooth_type.dpo.smooth", "smooth_type.duchon.spline", "smooth_type.fs.interaction", "smooth_type.gp.smooth", "smooth_type.ipo.smooth", "smooth_type.lipl.smooth", "smooth_type.lmpi.smooth", "smooth_type.mdcv.smooth", "smooth_type.mdcvBy.smooth", "smooth_type.mdcx.smooth", "smooth_type.mdcxBy.smooth", "smooth_type.micv.smooth", "smooth_type.micvBy.smooth", "smooth_type.micx.smooth", "smooth_type.micxBy.smooth", "smooth_type.mifo.smooth", "smooth_type.miso.smooth", "smooth_type.mpd.smooth", "smooth_type.mpdBy.smooth", "smooth_type.mpi.smooth", "smooth_type.mpiBy.smooth", "smooth_type.mrf.smooth", "smooth_type.po.smooth", "smooth_type.pspline.smooth", "smooth_type.random.effect", "smooth_type.sf.film", "smooth_type.sf.wiggly", "smooth_type.soap.film", "smooth_type.sos.smooth", "smooth_type.sz.interaction", "smooth_type.t2.smooth", "smooth_type.tecvcv.smooth", "smooth_type.tecxcv.smooth", "smooth_type.tecxcx.smooth", "smooth_type.tedecv.smooth", "smooth_type.tedecx.smooth", 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