Dynamic Modeling and Machine Learning Environment

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Documentation for package ‘Dyn4cast’ version 11.11.26

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

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