# 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