COR_TEST                Correlation Test
GLM                     Generalized linear model
HTEST_FN                Build a hypothesis test function
LINEAR_REG              Linear regression
MODEL_FN                Build a model inference function
MU                      Mean of a variable, optionally conditioned on a
                        subgroup
PI                      Proportion of a variable, optionally
                        conditioned on a subgroup
P_TEST                  Proportion Test
RHO                     Population correlation between two variables
STAT_CONSTRUCTOR        Main foundation for inferential statistics
T_TEST                  T-Test
add-stat-define         Add or remove stat_define implementations on a
                        test or model function
add-variant             Add or remove variant implementations on a test
                        or model function
agendas                 Collect implementations for a statistical
                        procedure
anova-mod               ANOVA table for linear model comparisons
auto_gauge              Automatically gauge effect size from a
                        statistical result
auto_predict            Automatically predict from a statistical result
auto_tidy               Automatically tidy a statistical result
baseline                Declare the canonical implementation of a test
                        or model
claim-vars-validators   Validate hypothesis parameter references
                        against a model's declared variables
claim_contrast_coefs    Extract contrast coefficients from a null claim
claim_scalar            Extract a scalar hypothesis value from a null
                        claim
class_corr_two          Structured result container for two-sample
                        t-tests
class_glm_object        Structured result container for GLM fits
class_lm_object         Structured result container for linear model
                        fits
class_p_test            Structured result container for proportion
                        tests
class_stat_infer        Base class for all statistical result objects
class_ttest_one         Structured result container for one-sample
                        t-tests
class_ttest_pairwise    Structured result container for pairwise
                        t-tests
class_ttest_two         Structured result container for two-sample
                        t-tests
class_var_inform        Output class for Variable Mapper metadata
conclude                Execute a lazy pipeline
display                 Display individual results
gauge                   Effect size for a concluded statistical result
inlines                 Inline multiple expressions in a Variable
                        Mapper
layout-define-base      Define a layout supplied by a Variable Mapper
making_gauge            Declare a gauge method for a stat and model
                        type
making_predict          Declare a predict method for a stat and model
                        type
making_tidy             Declare tidy methods for a stat and model type
map_claim               Build a claim parser from named resolver
                        functions
method_gauge            Declare gauge methods for a stat result
method_predict          Declare predict methods for a stat result
method_tidy             Declare tidy methods for a stat result
model-processor         Model evaluator
modifying-assignment    Apply a method_tidy to a making_tidy target
null-hyp                State a null hypothesis in the pipeline
on                      Specify variables for independent testing
pairwise                Define all pairwise variable combinations
param_obj               Base class for population parameters
predict                 Predict from a concluded statistical result
prepare                 Prepare a lazy inference pipeline
prepare-model           Lazily prepare a model inference
prepare-test            Lazily prepare a single test
prop                    Define a proportion test model
purge_stat_defines      Purge all package-scoped stat_define
                        registrations for a package
rel                     Describe the relationship between two variables
stat-infer-definer      Define a statistical procedure implementation
tidy                    Tidy a concluded statistical result
var_id                  Base class for Variable Mapper objects
var_id_info             Extract metadata from a Variable Mapper
variant                 Declare an alternative implementation of a test
                        or model
via                     Recalibrate the method variant
write_models            Write multiple model definitions from a data
                        frame
x_by                    Compare a variable by group
