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combinations of factor levels", "topics": [ "factor_combos", "factor_combos.gam" ] }, { "page": "family_name", "title": "Name of family used to fit model", "topics": [ "family_name" ] }, { "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.list" ] }, { "page": "fitted_samples", "title": "Draw fitted values from the posterior distribution", "topics": [ "fitted_samples", "fitted_samples.gam", "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.scam" ] }, { "page": "fix_offset", "title": "Fix the names of a data frame containing an offset variable.", "topics": [ "fix_offset" ] }, { "page": 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subset of these for a particular model term", "topics": [ "get_vcov" ] }, { "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.list", "is_factor_term.terms" ] }, { "page": "is_mgcv_family", "title": "Is an object one of mgcv's family objects?", "topics": [ 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] }, { "page": "mh_draws", "title": "Posterior samples using a Gaussian approximation to the posterior distribution", "topics": [ "mh_draws", "mh_draws.gam" ] }, { "page": "model_concurvity", "title": "Concurvity of an estimated GAM", "topics": [ "concrvity", "model_concurvity", "model_concurvity.gam" ] }, { "page": "model_constant", "title": "Extract the model constant term", "topics": [ "model_constant", "model_constant.gam", "model_constant.gamlss", "model_constant.glm" ] }, { "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" ] }, { "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.list" ] }, { "page": "n_eta", "title": "The Number of linear predictors in model", "topics": [ "n_eta", 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