A Declarative Interface for Statistical Inference

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Documentation for package ‘statim’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

%<-%	Apply a method_tidy to a making_tidy target
%by%	Compare a variable by group
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
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	ANOVA table for linear model comparisons
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
check_param_nodes	Validate hypothesis parameter references against a model's declared variables
check_x_and_given	Validate hypothesis parameter references against a model's declared variables
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
COR_TEST	Correlation Test
define_model	Define a layout supplied by a Variable Mapper
display	Display individual results
gauge	Effect size for a concluded statistical result
GLM	Generalized linear model
HTEST_FN	Build a hypothesis test function
inlines	Inline multiple expressions in a Variable Mapper
layout-define-base	Define a layout supplied by a Variable Mapper
LINEAR_REG	Linear regression
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
MODEL_FN	Build a model inference function
model_infer_define	Define a statistical procedure implementation
model_processor	Model evaluator
modifying-assignment	Apply a method_tidy to a making_tidy target
MU	Mean of a variable, optionally conditioned on a subgroup
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
PI	Proportion of a variable, optionally conditioned on a subgroup
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
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
P_TEST	Proportion Test
rel	Describe the relationship between two variables
remove_stat_define	Add or remove stat_define implementations on a test or model function
remove_variant	Add or remove variant implementations on a test or model function
RHO	Population correlation between two variables
stat-infer-definer	Define a statistical procedure implementation
state_null	State a null hypothesis in the pipeline
STAT_CONSTRUCTOR	Main foundation for inferential statistics
stat_define	Define a statistical procedure implementation
test_define	Define a statistical procedure implementation
tidy	Tidy a concluded statistical result
T_TEST	T-Test
validate_claim_vars	Validate hypothesis parameter references against a model's declared variables
validate_one_param_node	Validate hypothesis parameter references against a model's declared variables
variant	Declare an alternative implementation of a test or model
var_id	Base class for Variable Mapper objects
var_id_info	Extract metadata from a Variable Mapper
via	Recalibrate the method variant
write_models	Write multiple model definitions from a data frame
x_by	Compare a variable by group