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

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Documentation for package ‘SimCorrMix’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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