describe_relationship: Describe relationship between two dependent groups
In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

describe_relationship provides numerous descriptive estimators and bootstrap confidence intervals for relationship between paired predictor and outcome groups. describe_relationship function is a "wrapper" for bmbstats function.

describe_relationship(
  predictor,
  outcome,
  SESOI_lower = SESOI_lower_dependent_func,
  SESOI_upper = SESOI_upper_dependent_func,
  estimator_function = relationship_lm_estimators,
  control = model_control(),
  na.rm = FALSE
)

`predictor`	Numeric vector
`outcome`	Vector
`SESOI_lower`	Lower smallest effect size of interest threshold
`SESOI_upper`	Upper smallest effect size of interest threshold
`estimator_function`	Function that takes `predictor`, `outcome`, and `na.rm` parameters and return named numeric vector with parameter estimates. Default is `relationship_lm_estimators`. User can write their own function with needed estimators for which bootstrap confidence intervals are needed
`control`	Control object returned from `model_control` function. Use `boot_type`, `boot_samples`, `boot_strata` to setup bootstrap.
`na.rm`	Should NAs be removed? Default is `FALSE`

data("yoyo_mas_data")
predictor <- yoyo_mas_data$YoYoIR1
outcome <- yoyo_mas_data$MAS

describe_relationship(predictor, outcome, SESOI_lower = -0.5, SESOI_upper = 0.5)