Ordinal IRT / Quinn factor model (stub) — morie_spatial_voting_ordinal_irt • rmorie

Ordinal IRT / Quinn factor model (stub)

Usage

morie_spatial_voting_ordinal_irt(
  Y,
  n_dims = 1L,
  n_samples = 500L,
  burn_in = 100L,
  seed = 42L
)

Arguments

Y: Ordinal response matrix.
n_dims: Latent dimensions.
n_samples: MCMC samples. @param burn_in Burn-in length.
burn_in: Integer; MCMC burn-in iterations.
seed: RNG seed.

Value

List: ideal_points, ideal_sd, discrimination, difficulty, cutpoints, engine.

References

Quinn, K. M. (2004). "Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses." Political Analysis, 12(4).

Examples

set.seed(1)
Y <- matrix(sample(1:3, 60, TRUE), 20, 3)
fit <- morie_spatial_voting_ordinal_irt(Y, n_samples = 100L,
                                        burn_in = 50L)
#> 
#> 
#> Acceptance rates:
#>    V1   V2 V3
#>  0.97 0.98  1
head(fit$ideal_points)
#>            [,1]
#> [1,]  0.3631393
#> [2,]  0.1317056
#> [3,]  0.3084522
#> [4,] -0.6270413
#> [5,]  1.0756891
#> [6,]  0.3828661