Index A | B | C | E | F | G | I | J | L | M | N | P | R | S | T | U | V | Z A anova() (in module pymer4.models.base.model), [1] (in module pymer4.models.lmer.lmer), [1] (in module pymer4.tidystats.stats) as_tibble() (in module pymer4.tidystats.tibble) augment() (in module pymer4.tidystats.broom) B beta() (pymer4.tidystats.plutils.RandomExpr method), [1] binom() (pymer4.tidystats.plutils.RandomExpr method), [1] boot() (in module pymer4.tidystats.multimodel) bootMer() (in module pymer4.tidystats.lmerTest) bootstrap_model() (in module pymer4.tidystats.easystats) C center() (in module pymer4.expressions) check_modelfit() (in module pymer4.config) check_rlibs() (in module pymer4.config) chisq() (pymer4.tidystats.plutils.RandomExpr method), [1] clear_logs() (in module pymer4.models.base.model), [1], [2], [3] coef() (in module pymer4.tidystats.multimodel) coef_ (pymer4.models.skmer.skmer attribute) coef_rfx_ (pymer4.models.skmer.skmer attribute) compare() (in module pymer4.models) con2R() (in module pymer4.tidystats.bridge) confint() (in module pymer4.tidystats.multimodel) convert_argkwarg_dataframe() (in module pymer4.tidystats.bridge) convert_argkwarg_dict() (in module pymer4.tidystats.bridge) convert_argkwarg_list() (in module pymer4.tidystats.bridge) convert_argkwarg_model() (in module pymer4.tidystats.bridge) convert_argkwarg_none() (in module pymer4.tidystats.bridge) E emmeans() (in module pymer4.models.base.model), [1] (in module pymer4.models.lmer.lmer), [1] (in module pymer4.tidystats.emmeans_lib) empredict() (in module pymer4.models.base.model), [1], [2], [3] emtrends() (in module pymer4.tidystats.emmeans_lib) ensure_py_output() (in module pymer4.tidystats.bridge) ensure_r_input() (in module pymer4.tidystats.bridge) expand_grid() (in module pymer4.tidystats.plutils) F feature_names_ (pymer4.models.skmer.skmer attribute) fit() (in module pymer4.models.glm.glm) (in module pymer4.models.glmer.glmer) (in module pymer4.models.lm.lm) (in module pymer4.models.lmer.lmer) (in module pymer4.models.skmer.skmer) fixef() (in module pymer4.tidystats.lmerTest) G gamma() (pymer4.tidystats.plutils.RandomExpr method), [1] get_fixed_params() (in module pymer4.tidystats.easystats) get_param_names() (in module pymer4.tidystats.easystats) get_summary() (in module pymer4.rfuncs) glance() (in module pymer4.tidystats.broom) glm (class in pymer4.models.glm) glm() (in module pymer4.tidystats.stats) glmer (class in pymer4.models.glmer) glmer() (in module pymer4.tidystats.lmerTest) group() (pymer4.tidystats.plutils.RandomExpr method), [1] I is_converged() (in module pymer4.tidystats.easystats) is_mixed_model() (in module pymer4.tidystats.easystats) is_singular() (in module pymer4.tidystats.lmerTest) J join_on_common_cols() (in module pymer4.tidystats.plutils) joint_tests() (in module pymer4.tidystats.emmeans_lib) L lm (class in pymer4.models.lm) lm() (in module pymer4.tidystats.stats) lmer (class in pymer4.models.lmer) lmer() (in module pymer4.tidystats.lmerTest) load_dataset() (in module pymer4.io) load_model() (in module pymer4.io) logit2odds() (in module pymer4.expressions) logit2prob() (in module pymer4.expressions) M make_factors() (in module pymer4.tidystats.plutils) make_rfunc() (in module pymer4.rfuncs) model_ (pymer4.models.skmer.skmer attribute) model_icc() (in module pymer4.tidystats.easystats) model_matrix() (in module pymer4.tidystats.stats) model_params() (in module pymer4.tidystats.easystats) model_performance() (in module pymer4.tidystats.easystats) model_performance_cv() (in module pymer4.tidystats.easystats) model_terms_ (pymer4.models.skmer.skmer attribute) module pymer4.config pymer4.expressions pymer4.io pymer4.rfuncs pymer4.tidystats.base pymer4.tidystats.bridge pymer4.tidystats.broom pymer4.tidystats.easystats pymer4.tidystats.emmeans_lib pymer4.tidystats.lmerTest pymer4.tidystats.multimodel pymer4.tidystats.plutils pymer4.tidystats.stats pymer4.tidystats.tables pymer4.tidystats.tibble N n_features_in_ (pymer4.models.skmer.skmer attribute) norm() (pymer4.tidystats.plutils.RandomExpr method), [1] numpy2R() (in module pymer4.tidystats.bridge) P poisson() (pymer4.tidystats.plutils.RandomExpr method), [1] polars2R() (in module pymer4.tidystats.bridge) predict() (in module pymer4.models.base.model) (in module pymer4.models.glm.glm) (in module pymer4.models.glmer.glmer) (in module pymer4.models.lmer.lmer) (in module pymer4.models.skmer.skmer) (in module pymer4.tidystats.multimodel) pymer4.config module pymer4.expressions module pymer4.io module pymer4.rfuncs module pymer4.tidystats.base module pymer4.tidystats.bridge module pymer4.tidystats.broom module pymer4.tidystats.easystats module pymer4.tidystats.emmeans_lib module pymer4.tidystats.lmerTest module pymer4.tidystats.multimodel module pymer4.tidystats.plutils module pymer4.tidystats.stats module pymer4.tidystats.tables module pymer4.tidystats.tibble module R R2numpy() (in module pymer4.tidystats.bridge) R2polars() (in module pymer4.tidystats.bridge) RandomExpr (class in pymer4.tidystats.plutils), [1] ranef() (in module pymer4.tidystats.lmerTest) rank() (in module pymer4.expressions) ref_grid() (in module pymer4.tidystats.emmeans_lib) report() (in module pymer4.models.base.model), [1], [2], [3] (in module pymer4.tidystats.easystats) resid() (in module pymer4.tidystats.stats) Rhome() (in module pymer4.config) S sanitize_polars_columns() (in module pymer4.tidystats.bridge) save_model() (in module pymer4.io) scale() (in module pymer4.expressions) set_contrasts() (in module pymer4.models.base.model), [1], [2], [3] set_factors() (in module pymer4.models.base.model), [1], [2], [3] set_transforms() (in module pymer4.models.base.model), [1], [2], [3] show_contrasts() (in module pymer4.models.base.model), [1], [2], [3] show_factors() (in module pymer4.models.base.model), [1], [2], [3] show_logs() (in module pymer4.models.base.model), [1], [2], [3] show_transforms() (in module pymer4.models.base.model), [1], [2], [3] simulate() (in module pymer4.models.base.model), [1] (in module pymer4.models.lmer.lmer), [1] (in module pymer4.tidystats.multimodel) skmer (class in pymer4.models.skmer) summary() (in module pymer4.models.base.model), [1] (in module pymer4.models.glm.glm) (in module pymer4.models.glmer.glmer) (in module pymer4.tidystats.base) summary_anova() (in module pymer4.models.base.model), [1], [2], [3] summary_glmm_table() (in module pymer4.tidystats.tables) summary_lm_table() (in module pymer4.tidystats.tables) summary_lmm_table() (in module pymer4.tidystats.tables) T term_ffx_ (pymer4.models.skmer.skmer attribute) term_response_ (pymer4.models.skmer.skmer attribute) term_rfx_ (pymer4.models.skmer.skmer attribute) test_install() (in module pymer4.config) tidy() (in module pymer4.tidystats.broom) to_dict() (in module pymer4.tidystats.bridge) U uniform() (pymer4.tidystats.plutils.RandomExpr method), [1] unmake_factors() (in module pymer4.tidystats.plutils) unset_factors() (in module pymer4.models.base.model), [1], [2], [3] unset_transforms() (in module pymer4.models.base.model), [1], [2], [3] V vif() (in module pymer4.models.base.model), [1], [2], [3] Z zscore() (in module pymer4.expressions)
