tipr 0.4.1
- 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().
tipr 0.4.0
- 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()
tipr 0.3.0
- Added ability to perform sensitivity analyses on linear models via
lm_tip()
tipr 0.2.0
- 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.
tipr 0.1.1