set_datamod_outcome_rr3 {bage} | R Documentation |
Specify RR3 Data Model
Description
Specify a data model where the outcome variable has been randomly rounded to base 3.
Usage
set_datamod_outcome_rr3(mod)
Arguments
mod |
An object of class |
Details
set_datamod_outcome_rr3()
can only be used with
Poisson and binomial models (created with
mod_pois()
and mod_binom()
.)
Random rounding to base 3 (RR3) is a confidentialization
technique that is sometimes applied by statistical
agencies. RR3 is applied to integer data. The
procedure for rounding value n
is as follows:
If
n
is divisible by 3, leave it unchangedIf dividing
n
by 3 leaves a remainder of 1, then round down (subtract 1) with probability 2/3, and round up (add 2) with probability 1/3.If dividing
n
by 3 leaves a remainder of 1, then round down (subtract 2) with probability 1/3, and round up (add 1) with probability 2/3.
If set_datamod_outcome_rr3()
is applied to
a fitted model, it 'unfits'
the model, deleting existing estimates.
Value
A modified version of mod
.
See Also
-
datamods Overview of data models implemented in bage
-
mod_pois()
,mod_binom()
,mod_norm()
Specify a model for rates, probabilities, or means
Examples
## 'injuries' variable in 'nzl_injuries' dataset
## has been randomly rounded to base 3
mod <- mod_pois(injuries ~ age:sex + ethnicity + year,
data = nzl_injuries,
exposure = popn) |>
set_datamod_outcome_rr3() |>
fit()