Function reference • responsesR

All functions
`convert_params()`	Convert parameters
`cor2cov()`	Get covariance matrix from a correlation matrix
`d_skew_normal()`	Probability density function of a skew normal distribution
`delta_skew_normal()`	Delta parameter of a skew normal distribution
`estimate_mu_sd()`	Estimate mean and standard deviation
`estimate_parameters()`	Estimate parameters
`get_MSE()`	Calculate the mean squared error
`get_new_rk()`	Calculate new representatives `rk` from cut points `xk`
`get_new_xk()`	Calculate new cut points `xk` from representatives `rk`
`get_pk()`	Calculate probabilities `pk` from cut points `xk`
`get_pk_mean()`	Calculate the mean of `pk`
`get_pk_var()`	Calculate variance of probabilities `pk`
`get_prop_table()`	Get a table of proportions across each possible response
`get_rand_corr_matrix()`	Generate a random `p x p` correlation matrix
`get_random_cp()`	Get random centered parameters `c(mu, sd, gamma1)` for testing
`get_responses()`	Get responses
`get_univariate_responses()`	Get univariate responses
`mean_skew_normal()`	The mean of skew normal distribution
`pad_levels()`	Pad missing levels with zeros
`percentify()`	Return percentage for a given number
`plot_contour()`	Plot the contour of function `f` along with provided trace
`run_Lloyd()`	Implementation of Lloyd's algorithm
`scale_and_shift()`	Scale and shift cut points
`simulate_responses()`	Simulate responses
`var_skew_normal()`	Variance of a skew normal distribution

Reference