# Dynamic Modeling and Machine Learning Environment

## Documentation for package ‘Dyn4cast’ version 11.11.26

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

## Help Pages

corplot | Custom plot of correlation matrix
COVID19 | Dynamic Forecast of Five Models and their Ensembles
Data | Collection of Machine Learning Model Metrics for Easy Reference
data_transform | Standardize 'data.frame' for comparable *Machine Learning* prediction and visualization
Dyn4cast-deprecated | Deprecated functions in Dyn4cast
DynamicForecast | Dynamic Forecast of Five Models and their Ensembles
estimate_plot | Plot of Order of Significance of Estimated Regression Coefficients
formattedcut | Convert continuous vector variable to formatted factors
garrett_data | Garrett Ranking of Categorical Data
garrett_ranking | Garrett Ranking of Categorical Data
garrett_table | Garrett Ranking of Categorical Data
gender | Create Gender Variable
index_construction | Index Construction for estimation of *Exposure* or *Sensitivity*
Linearsystems | Linear Model and various Transformations for Efficiency
linearsystems | Linear Model and various Transformations for Efficiency
MallowsCp | Computation of MallowsCp
mdi | Sequential Computation of Dynamic Multidimensional Indices (MDI)
mdpi1 | Sequential Computation of Dynamic Multidimensional Indices (MDI)
mdpi2 | Sequential Computation of Dynamic Multidimensional Indices (MDI)
MLMetrics | Collection of Machine Learning Model Metrics for Easy Reference
Model_factors | Deprecated functions in Dyn4cast
model_factors | Latent Factors Recovery from Variables Loadings
odds_summary | Odds-Based Measures for Binary and Categorical Models
Percent | Attach Per Cent Sign to Data
plot_mdi | Plots of Multidimensional Index Measures
Quicksummary | Quick Formatted Summary of Machine Learning Data
quicksummary | Quick Formatted Summary of Machine Learning Data
relative_likert | Convert Likert Data to Relative Scores and knowledge-based *Adaptive Capacity*
sampling | Linear Model and various Transformations for Efficiency
Transform | Standardize 'data.frame' for comparable *Machine Learning* prediction and visualization
treatments | Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments
treatment_model | Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments