Changes in version 1.0.2.9000                      

                 Changes in version 1.0.2 (2024-02-06)                  

  - adjust_coef_with_binary() now assumes the coefficient is from a
    linear model rather than loglinear. Use loglinear = TRUE to get the
    old behavior. (#12, @malcolmbarrett)
  - Fixed roxygen issue with package documentation
  - Update messaging and errors

                 Changes in version 1.0.1 (2022-09-05)                  

  - Fixed bug, functions based on the adjust_coef_with_binary function
    had the old parameter names (exposed_p and unexposed_p). These were
    changed to match the other new updates from version 1.0.0 to now be
    exposed_confounder_prev and unexposed_confounder_prev.
  - Change "relative risk" to "risk ratio" in all documentation.
  - Add new JOSS citation

                 Changes in version 1.0.0 (2022-08-06)                  

Breaking changes. The names of several arguments were changed for
increased clarity:

  - effect -> effect_observed

  - outcome_association -> confounder_outcome_effect

  - smd -> exposure_confounder_effect

  - exposed_p -> exposed_confounder_prev

  - unexposed_p -> unexposed_confounder_prev

  - exposure_r2 -> confounder_exposure_r2

  - outcome_r2 -> confounder_outcome_r2

  - Added two new example datasets: exdata_continuous and exdata_rr

                        Changes in version 0.4.2                        

  - Make the output tibble names consistent (adjusted_effect ->
    effect_adjusted)

                 Changes in version 0.4.1 (2022-05-05)                  

  - Add additional functions that specify *_with_continuous() (long form
    of, the function names, the default unmeasured confounder is
    Normally distributed)
  - Change tip_lm() to tip_coef().

                 Changes in version 0.4.0 (2022-04-16)                  

  - Changed the name of lm_tip() to tip_lm()
  - The API has been fundamentally updated so that the functions now
    take a numeric value as a first argument rather than a data frame.
  - Added adjust_* functions to allow for specification of all
    unmeasured confounder qualities without tipping
  - Split tip_* functions into hazard ratio, odds ratio, and relative
    risk
  - Add R2 parameterization with tip_coef_with_r2(),
    adjust_coef_with_r2(), and r_value()

                 Changes in version 0.3.0 (2021-09-10)                  

  - Added ability to perform sensitivity analyses on linear models via
    lm_tip()

                 Changes in version 0.2.0 (2020-11-16)                  

  - Updated several function and parameter names. The main functions are
    now tip() and tip_with_binary(). The parameter names are more
    self-explanatory.
  - The API has been fundamentally updated so that the functions now
    take a data frame as a first argument.
  - There is now explicit (but not required) integration with the broom
    package.

                 Changes in version 0.1.1 (2017-11-28)                  

  - initial CRAN release