R: Simulation of Multivariate Linear Model Data

# Simulation of Multivariate Linear Model Data

## Documentation for package ‘simrel’ version 2.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

abs_sigma | Tidy Functions to make plotting easy
AppSimrel | Simulation of Multivariate Linear Model Data
bisimrel | Simulation of Multivariate Linear Model data with response
cov_mat | Extract various sigma matrices
cov_plot_data | Prepare data for Plotting Covariance Matrix
cov_xy | Covariance between X and Y
cov_zw | Covariance between Z and W
cov_zy | Covariance between Z and Y
expect_subset | Extra test functions
ggsimrelplot | Simulation Plot with ggplot: The true beta, relevant component and eigen structure
mbrd | Function to create MBR-design.
mbrdsim | A function to set up a design for a given set of factors with their specific levels using the MBR-design method.
msim | Simulation of Multivariate Linear Model Data
multisimrel | Simulation of Multivariate Linear Model Data
parse_parm | Some helper function for simulation
plot_beta | Plotting Functions
plot_cov | Plotting Covariance Matrix
plot_covariance | Plot Covariance between predictor (components) and response (components)
plot_simrel | A wrapper function for a simrel object
prepare_design | Prepare design for experiment from a list of simulation parameter
simrel | Simulation of Multivariate Linear Model Data
simrelplot | Simulation Plot: The true beta, relevant component and eigen structure
tidy_beta | Tidy Functions to make plotting easy
tidy_lambda | Extract Eigenvalues of predictors
tidy_sigma | Tidy covariance matrix
unisimrel | Function for data simulation