id_sim_gen | R Documentation |
A function designed to simulate IRT ideal point data.
id_sim_gen(
num_person = 20,
num_bills = 50,
model_type = "binary",
latent_space = FALSE,
absence_discrim_sd = 2,
absence_diff_mean = 0.5,
reg_discrim_sd = 2,
diff_sd = 0.25,
time_points = 1,
time_process = "random",
time_sd = 0.1,
ideal_pts_sd = 1,
prior_type = "gaussian",
ordinal_outcomes = 3,
inflate = FALSE,
sigma_sd = 1
)
num_person |
The number of persons/persons |
num_bills |
The number of items/bills |
model_type |
One of |
latent_space |
Whether to use the latent space formulation of the ideal point model
|
absence_discrim_sd |
The SD of the discrimination parameters for the inflated model |
absence_diff_mean |
The mean intercept for the inflated model; increasing it will lower the total number of missing data |
reg_discrim_sd |
The SD of the discrimination parameters for the non-inflated model |
diff_sd |
The SD of the difficulty parameters (bill/item intercepts) |
time_points |
The number of time points for time-varying legislator/person parameters |
time_process |
The process used to generate the ideal points: either |
time_sd |
The standard deviation of the change in ideal points over time (should be low relative to
|
ideal_pts_sd |
The SD for the person/person ideal points |
prior_type |
The statistical distribution that generates the data. Currently only 'gaussian' is supported. |
ordinal_outcomes |
If |
inflate |
If |
sigma_sd |
If a normal or log-normal distribution is being fitted, this parameter gives the standard deviation of the outcome (i.e. the square root of the variance). |
This function produces simulated data that matches (as closely as possible) the models used in the underlying Stan code. Currently the simulation can produce inflated and non-inflated models with binary, ordinal (GRM and rating-scale), Poisson, Normal and Log-Normal responses.
The results is a idealdata
object that can be used in the
id_estimate
function to run a model. It can also be used in the simulation
plotting functions.
id_plot_sims
for plotting fitted models versus true values.
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