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Functions

Main functions available in Dyn4cast

corplot()
Custom plot of correlation matrix
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
gender()
Create Gender Variable
index_construction()
Index Construction for estimation of Exposure or Sensitivity
Linearsystems()
Linear Model and various Transformations for Efficiency
MallowsCp()
Computation of MallowsCp
mdi()
Sequential Computation of Dynamic Multidimensional Indices (MDI)
MLMetrics()
Collection of Machine Learning Model Metrics for Easy Reference
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
relative_likert()
Convert Likert Data to Relative Scores and knowledge-based Adaptive Capacity
data_transform()
Standardize data.frame for comparable Machine Learning prediction and visualization
treatment_model()
Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments
Model_factors()
Deprecated functions in Dyn4cast

Datasets

Data included in the package

DynamicForecast()
Dynamic Forecast of Five Models and their Ensembles
MLMetrics()
Collection of Machine Learning Model Metrics for Easy Reference
garrett_ranking()
Garrett Ranking of Categorical Data
Linearsystems()
Linear Model and various Transformations for Efficiency
mdi()
Sequential Computation of Dynamic Multidimensional Indices (MDI)
quicksummary()
Quick Formatted Summary of Machine Learning Data
data_transform()
Standardize data.frame for comparable Machine Learning prediction and visualization
treatment_model()
Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments