R: Simulation of Correlated Data with Multiple Variable Types Including Continuous and Count Mixture Distributions

# Simulation of Correlated Data with Multiple Variable Types Including Continuous and Count Mixture Distributions

## Documentation for package ‘SimCorrMix’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

SimCorrMix-package | Simulation of Correlated Data with Multiple Variable Types Including Continuous and Count Mixture Distributions
calc_mixmoments | Find Standardized Cumulants of a Continuous Mixture Distribution by Method of Moments
contmixvar1 | Generation of One Continuous Variable with a Mixture Distribution Using the Power Method Transformation
corrvar | Generation of Correlated Ordinal, Continuous (mixture and non-mixture), and/or Count (Poisson and Negative Binomial, regular and zero-inflated) Variables: Correlation Method 1
corrvar2 | Generation of Correlated Ordinal, Continuous (mixture and non-mixture), and/or Count (Poisson and Negative Binomial, regular and zero-inflated) Variables: Correlation Method 2
corr_error | Error Loop to Correct Final Correlation of Simulated Variables
intercorr | Calculate Intermediate MVN Correlation for Ordinal, Continuous, Poisson, or Negative Binomial Variables: Correlation Method 1
intercorr2 | Calculate Intermediate MVN Correlation for Ordinal, Continuous, Poisson, or Negative Binomial Variables: Correlation Method 2
intercorr_cat_nb | Calculate Intermediate MVN Correlation for Ordinal - Negative Binomial Variables: Correlation Method 1
intercorr_cat_pois | Calculate Intermediate MVN Correlation for Ordinal - Poisson Variables: Correlation Method 1
intercorr_cont | Calculate Intermediate MVN Correlation for Continuous Variables Generated by Polynomial Transformation Method
intercorr_cont_nb | Calculate Intermediate MVN Correlation for Continuous - Negative Binomial Variables: Correlation Method 1
intercorr_cont_nb2 | Calculate Intermediate MVN Correlation for Continuous - Negative Binomial Variables: Correlation Method 2
intercorr_cont_pois | Calculate Intermediate MVN Correlation for Continuous - Poisson Variables: Correlation Method 1
intercorr_cont_pois2 | Calculate Intermediate MVN Correlation for Continuous - Poisson Variables: Correlation Method 2
intercorr_nb | Calculate Intermediate MVN Correlation for Negative Binomial Variables: Correlation Method 1
intercorr_pois | Calculate Intermediate MVN Correlation for Poisson Variables: Correlation Method 1
intercorr_pois_nb | Calculate Intermediate MVN Correlation for Poisson - Negative Binomial Variables: Correlation Method 1
maxcount_support | Calculate Maximum Support Value for Count Variables: Correlation Method 2
norm_ord | Calculate Correlations of Ordinal Variables Obtained from Discretizing Normal Variables
ord_norm | Calculate Intermediate MVN Correlation to Generate Variables Treated as Ordinal
plot_simpdf_theory | Plot Simulated Probability Density Function and Target PDF by Distribution Name or Function for Continuous or Count Variables
plot_simtheory | Plot Simulated Data and Target Distribution Data by Name or Function for Continuous or Count Variables
rho_M1M2 | Approximate Correlation between Two Continuous Mixture Variables M1 and M2
rho_M1Y | Approximate Correlation between Continuous Mixture Variable M1 and Random Variable Y
SimCorrMix | Simulation of Correlated Data with Multiple Variable Types Including Continuous and Count Mixture Distributions
summary_var | Summary of Simulated Variables
validcorr | Determine Correlation Bounds for Ordinal, Continuous, Poisson, and/or Negative Binomial Variables: Correlation Method 1
validcorr2 | Determine Correlation Bounds for Ordinal, Continuous, Poisson, and/or Negative Binomial Variables: Correlation Method 2
validpar | Parameter Check for Simulation or Correlation Validation Functions