stabsim(m, ind, seed = 123, singles = NULL, gpm = 2)

- m
- integer indicating the number of markets to be simulated.
- ind
- integer (or vector) indicating the number of individuals per group.
- seed
- integer setting the state for random number generation. Defaults to
`set.seed(123)`

. - singles
- integer giving the number of one-group markets.
- gpm
- integer giving the number of groups per market.

- m.id
- categorical: market identifier.
- g.id
- categorical: group identifier.
- wst
- binary: indicator taking the value 1 if last year was worse than the year before; 0 otherwise.
- R
- NA: group outcome is not simulated. It can be obtained using the
`simulation`

argument in function`stabit`

.

`stabsim`

returns a data frame with the randomly generated variables
mimicking those in dataset `baac00`

.
Simulate individual-level data for one-sided matching markets.

## Coalitions [gpm := 2 !] ## Simulate one-sided matching data for 4 markets (m=4) with 2 groups ## per market (gpm=2) and 2 to 4 individuals per group (ind=2:4) idata <- stabsim(m=4, ind=2:4, seed=124, singles=2, gpm=2) ## Rommmates [ind := 2 !] ## Simulate one-sided matching data for 3 markets (m=3) with 3 groups ## per market (gpm=3) and 2 individuals per group (ind=2) idata <- stabsim(m=3, ind=2, seed=124, gpm=3)