process_hand {mmiCATs}R Documentation

Process Hand and Calculate Mispecification Distance in CloseCATs Game

Description

This function processes hands in the CloseCATs game and calculates the mispecification distance. It performs statistical computations based on the dealt cards and specified parameters, evaluating the performance of mixed effects models and cluster adjusted t-statistics models in the context of the game. The function considers various statistical parameters and model specifications to compute the results.

Usage

process_hand(
  x,
  process_col,
  beta_int = 0,
  beta_x1 = 0.25,
  beta_x2 = 1.5,
  mean_x1 = 0,
  sd_x1 = 1,
  mean_x2 = 0,
  sd_x2 = 4,
  N = 20,
  reps = 1,
  alpha = 0.05,
  n_time = 20,
  mean_i = 0,
  var_i = 1,
  mean_s = 0,
  mean_r = 0,
  var_r = 1,
  cor_pred = NULL,
  truncate = FALSE,
  var_s_factor = 1,
  cov_is_factor = 14.75
)

Arguments

x

A matrix representing the current hand in the game grid.

process_col

The column number (1 for computer, 2 for player) to process.

beta_int

Intercept for the mixed effects model.

beta_x1

Coefficient for the first predictor in the mixed effects model.

beta_x2

Coefficient for the second predictor in the mixed effects model.

mean_x1

Mean of the first predictor.

sd_x1

Standard deviation of the first predictor.

mean_x2

Mean of the second predictor.

sd_x2

Standard deviation of the second predictor.

N

Number of observations.

reps

Number of replications for the power analysis.

alpha

Significance level for the power analysis.

n_time

Number of time points.

mean_i

Mean of the random intercept.

var_i

Variance of the random intercept.

mean_s

Mean of the random slope.

mean_r

Mean of the residual.

var_r

Variance of the residual.

cor_pred

Correlation predictor, NULL if not specified.

truncate

Boolean to determine if truncation is applied in the model.

var_s_factor

Factor to adjust the variance of the random slope.

cov_is_factor

Factor to adjust the covariance between the random intercept and slope.

Value

A list containing two elements: 'mispec_dist', the mispecification distance, and 'results', a summary of model results and their statistical parameters.


[Package mmiCATs version 0.2.0 Index]