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# Package index

## All functions

`constrainedforecast()`
  Constrained Forecast of One-sided Integer Response Model

`corplot()`
  Custom plot of correlation matrix

`data_transform()`
  Standardize `data.frame` for comparable Machine Learning prediction and visualization

`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_ranking()`
  Garrett Ranking of Categorical Data

`invscaledlogit()`
  Exponential Values after One-Sided Response Integer Variable Forecasting

`Linearsystems()`
  Linear Model and various Transformations for Efficiency

`MallowsCp()`
  Computation of MallowsCp

`MLMetrics()`
  Collection of Machine Learning Model Metrics for Easy Reference

`model_factors`
  Latent Factors Recovery from Variables Loadings

`Percent()`
  Attach Per Cent Sign to Data

`quicksummary()`
  Quick Formatted Summary of Machine Learning Data

`scaledlogit()`
  Scale Parameter for Integer Modeling and Forecast

`treatment_model()`
  Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments