R: Multi-Variate Measurement Error Adjustment

# Multi-Variate Measurement Error Adjustment

## Documentation for package ‘rACMEMEEV’ version 1.0.1

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

## Help Pages

acf_plots | Create Auto Correlation Plots for Models
acme_model | Model the Data
attenuation_matrix | Create Attenuation Contamination Matrix
create_modelling_data | Data Preparation and Formatting for Modelling
create_model_string | Define a Model that is JAGS Usable
create_stan_model_string | Define the Pre-Model Using Stan
fisher_z_transform | Perform the Fisher Z Transformation
generate_coefficient | Generate updated validity coefficient using Fisher Z Transformation
multivariate_model | Model the Data with Multivariate Adjustment
pipeline | Pipeline used for running a model start to finish.
plot_a_list | Custom Function to Use Patchwork
plot_covariates | Diagnostics for Models
sensitivity_analysis | Run a sensitivity analysis on the error adjustment
standardize_with_return | Standardize the data of 1-D vector
traceplots | Create Traceplots for the Parameters