`clarify`

0.2.0`sim_ame()`

and`sim_adrf()`

now have a`by`

argument, which can be used to estimate quantities of interest within subsets of one or more variables.`sim_setx()`

can now receive a data frame for its`x`

and`x1`

arguments.`sim_ame()`

can accept new options for`contrast`

:`"sr"`

for the survival ratio and`"srr"`

for the switch relative risk.Slight speed improvements in

`sim_ame()`

with continuous`var`

and`sim_adrf()`

with`contrast =`

“amef”`.Typo fixes in vignettes.

`clarify`

0.1.3- Documentation updates incorporating the work of Rainey (2023).
`clarify`

already implemented the recommendations in Rainey (2023) so no functionality has changed.

`clarify`

0.1.2Added the argument

`reference`

to`plot.clarify_est()`

, which adds a reference normal distribution to the density of the estimates.Fixed error in

`sim()`

documentation about how degrees of freedom are computed. Thanks to @wviechtb. (#8)Fixed a warning that can occur about recovering model data, from

`insight`

.

`clarify`

0.1.1In

`summary.clarify_est()`

,`null`

can now be supplied as a named vector to specify the quantities for which p-values should be computed.Fixes in anticipation of breaking changes from

`marginaleffects`

to ensure compatibility (including with older versions).Updates to the README and vignettes.

`clarify`

0.1.0- First release!