- All exposure misclassificaiton naming changed from
`emc`

changed to`em`

- All outcome misclassificaiton naming changed from
`omc`

changed to`om`

- Added lifecycle badges for above function renames
- Merged
`adjust_multinom_uc_em_sel`

into`adjust_uc_em_sel`

- Merged
`adjust_multinom_uc_om_sel`

into`adjust_uc_om_sel`

- The following functions now support more flexible combinations of
continuous and binary exposure-outcome variables:
`adjust_uc_em_sel.R`

`adjust_uc_om_sel.R`

- Merged
`adjust_multinom_emc_omc`

into`adjust_emc_omc`

- Merged
`adjust_multinom_uc_emc`

into`adjust_uc_emc`

- Merged
`adjust_multinom_uc_omc`

into`adjust_uc_omc`

- The following functions now support more flexible combinations of
continuous and binary exposure-outcome variables:
`adjust_emc_sel`

(exposure must be binary)`adjust_omc_sel`

(outcome must be binary)`adjust_uc_emc`

(exposure must be binary)`adjust_uc_omc`

(outcome must be binary)`adjust_multinom_uc_emc`

(exposure must be binary)`adjust_multinom_uc_omc`

(outcome must be binary)

- Expanded the number of known confounders in dataframes:
`df_omc_sel`

`df_omc_sel_source`

- The following functions now support more flexible combinations of
continuous and binary exposure-outcome variables:
`adjust_uc`

`adjust_emc`

(exposure must be binary)`adjust_omc`

(outcome must be binary)`adjust_sel`

`adjust_uc_sel`

- Expanded the number of known confounders in dataframes:
`df_uc_omc`

`df_uc_omc_source`

`df_uc_emc`

`df_uc_emc_source`

- Dataframes
`df_uc`

and`df_uc_source`

now both have continuous and binary exposures and outcomes.

- Added two functions for simultaneous adjustment of uncontrolled
confounding, outcome misclassification, and selection bias:
`adjust_uc_omc_sel`

&`adjust_multinom_uc_omc_sel`

. - Added dataframes with uncontrolled confounding, outcome
misclassification, and selection bias:
`df_uc_omc_sel`

and`df_uc_omc_sel_source`

. - Expanded the number of known confounders in dataframes:
`df_uc_sel`

`df_uc_sel_source`

- Added two functions for simultaneous adjustment of exposure
misclassification and outcome misclassification:
`adjust_emc_omc`

&`adjust_multinom_emc_omc`

. - Added dataframes with exposure misclassification and outcome
misclassification:
`df_emc_omc`

and`df_emc_omc_source`

. - Expanded the number of known confounders in dataframes:
`df_emc_sel`

`df_emc_sel_source`

- Improved some of the documentation of equations.

- Added a function for simultaneous adjustment of outcome
misclassification and selection bias:
`adjust_omc_sel`

. - Added dataframes with outcome misclassification and selection bias:
`df_omc_sel`

and`df_omc_sel_source`

. - Expanded the number of known confounders in dataframes:
`df_uc`

`df_uc_source`

`df_emc`

`df_emc_source`

`df_omc`

`df_omc_source`

`df_sel`

`df_sel_source`

- Fixed bug in
`adjust_omc`

that appears when using three confounders

- Moved examples from README to vignette.

- Added two functions for simultaneous adjustment of uncontrolled
confounding and outcome misclassification:
`adjust_uc_omc`

and`adjust_multinom_uc_omc`

. - Added dataframes with uncontrolled confounding and outcome
misclassification:
`df_uc_omc`

and`df_uc_omc_source`

.

- None

- Created new function to adjust for outcome misclassification:
`adjust_omc`

. - Added dataframes for all single bias scenarios:
`df_emc`

`df_emc_source`

`df_omc`

`df_omc_source`

`df_sel`

`df_sel_source`

`df_uc`

`df_uc_source`

`adjust_sel`

had been weighing with the probability of selection instead of the**inverse**probability of selection.

- Initial CRAN submission.