Man pages for greybox
Toolbox for Model Building and Forecasting
| accuracy | Error measures for an estimated model |
| actuals | Function extracts the actual values from the function |
| aid | Automatic Identification of Demand |
| ALaplace | Asymmetric Laplace Distribution |
| alm | Augmented Linear Model |
| association | Measures of association |
| BCNormal | Box-Cox Normal Distribution |
| coef.alm | Coefficients of the model and their statistics |
| coefbootstrap | Bootstrap for parameters of models |
| cramer | Calculate Cramer's V for categorical variables |
| detectdst | DST and Leap year detector functions |
| determination | Coefficients of determination |
| Distributions | Distribution functions of the greybox package |
| dsrboot | Data Shape Replication Bootstrap |
| error-measures | Error measures |
| errorType | Functions that extracts type of error from the model |
| extractScale | Functions to extract scale and standard error from a model |
| FNormal | Folded Normal Distribution |
| gnorm | The generalized normal distribution |
| graphmaker | Linear graph construction function |
| greybox | Grey box |
| hm | Half moment of a distribution and its derivatives. |
| implant | Implant the scale model in the location model |
| InformationCriteria | Corrected Akaike's Information Criterion and Bayesian... |
| isFunctions | Greybox classes checkers |
| Laplace | Laplace Distribution |
| lmCombine | Combine regressions based on information criteria |
| lmDynamic | Combine regressions based on point information criteria |
| LogitNormal | Logit Normal Distribution |
| mcor | Multiple correlation |
| measures | Error measures for the provided forecasts |
| nparam | Number of parameters and number of variates in the model |
| outlierdummy | Outlier detection and matrix creation |
| pcor | Partial correlations |
| pinball | Pinball function |
| plot.greybox | Plots of the fit and residuals |
| pointIC | Point AIC |
| pointLik | Point likelihood values |
| polyprod | This function calculates parameters for the polynomials |
| predict.greybox | Forecasting using greybox functions |
| rectNormal | Rectified Normal Distribution |
| reexports | Objects exported from other packages |
| rmcb | Regression for Multiple Comparison with the Best |
| ro | Rolling Origin |
| SDistribution | S Distribution |
| sm | Scale Model |
| spread | Construct scatterplot / boxplots for the data |
| stepwise | Stepwise selection of regressors |
| tableplot | Construct a plot for categorical variable |
| temporaldummy | Dummy variables for provided seasonality type |
| TPLNormal | Three Parameter Log Normal Distribution |
| xregExpander | Exogenous variables expander |
| xregMultiplier | Exogenous variables cross-products |
| xregTransformer | Exogenous variables transformer |
