Toolbox for Model Building and Forecasting
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Documentation for package ‘greybox’ version 2.0.4
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A B C D E F G H I L M N O P Q R S T V X
| greybox-package | Grey box |
-- A --
| accuracy.greybox | Error measures for an estimated model |
| accuracy.predict.greybox | Error measures for an estimated model |
| actuals | Function extracts the actual values from the function |
| actuals.alm | Function extracts the actual values from the function |
| actuals.default | Function extracts the actual values from the function |
| actuals.lm | Function extracts the actual values from the function |
| actuals.predict.greybox | Function extracts the actual values from the function |
| AICc | Corrected Akaike's Information Criterion and Bayesian Information Criterion |
| aid | Automatic Identification of Demand |
| aidCat | Automatic Identification of Demand |
| ALaplace | Asymmetric Laplace Distribution |
| alm | Augmented Linear Model |
| assoc | Measures of association |
| association | Measures of association |
| asymmetry | Half moment of a distribution and its derivatives. |
-- B --
| BCNormal | Box-Cox Normal Distribution |
| BICc | Corrected Akaike's Information Criterion and Bayesian Information Criterion |
-- C --
| cextremity | Half moment of a distribution and its derivatives. |
| coef.alm | Coefficients of the model and their statistics |
| coef.greybox | Coefficients of the model and their statistics |
| coefbootstrap | Bootstrap for parameters of models |
| coefbootstrap.alm | Bootstrap for parameters of models |
| coefbootstrap.lm | Bootstrap for parameters of models |
| confint.alm | Coefficients of the model and their statistics |
| confint.scale | Coefficients of the model and their statistics |
| cramer | Calculate Cramer's V for categorical variables |
-- D --
| dalaplace | Asymmetric Laplace Distribution |
| dbcnorm | Box-Cox Normal Distribution |
| detectdst | DST and Leap year detector functions |
| detectleap | DST and Leap year detector functions |
| determ | Coefficients of determination |
| determination | Coefficients of determination |
| dfnorm | Folded Normal Distribution |
| dgnorm | The generalized normal distribution |
| Distributions | Distribution functions of the greybox package |
| dlaplace | Laplace Distribution |
| dlogitnorm | Logit Normal Distribution |
| drectnorm | Rectified Normal Distribution |
| ds | S Distribution |
| dsrboot | Data Shape Replication Bootstrap |
| dtplnorm | Three Parameter Log Normal Distribution |
-- E --
| Errors | Error measures |
| errorType | Functions that extracts type of error from the model |
| extractScale | Functions to extract scale and standard error from a model |
| extractScale.default | Functions to extract scale and standard error from a model |
| extractScale.greybox | Functions to extract scale and standard error from a model |
| extractSigma | Functions to extract scale and standard error from a model |
| extractSigma.default | Functions to extract scale and standard error from a model |
| extractSigma.greybox | Functions to extract scale and standard error from a model |
| extremity | Half moment of a distribution and its derivatives. |
-- F --
| FNormal | Folded Normal Distribution |
| forecast.alm | Forecasting using greybox functions |
| forecast.greybox | Forecasting using greybox functions |
-- G --
| GMRAE | Error measures |
| graphmaker | Linear graph construction function |
| greybox | Grey box |
-- H --
| ham | Half moment of a distribution and its derivatives. |
| hm | Half moment of a distribution and its derivatives. |
-- I --
| implant | Implant the scale model in the location model |
| is.alm | Greybox classes checkers |
| is.greybox | Greybox classes checkers |
| is.greyboxC | Greybox classes checkers |
| is.greyboxD | Greybox classes checkers |
| is.occurrence | Greybox classes checkers |
| is.rmc | Greybox classes checkers |
| is.rollingOrigin | Greybox classes checkers |
| is.scale | Greybox classes checkers |
-- L --
| Laplace | Laplace Distribution |
| lmCombine | Combine regressions based on information criteria |
| lmDynamic | Combine regressions based on point information criteria |
| LogitNormal | Logit Normal Distribution |
-- M --
| MAE | Error measures |
| MAPE | Error measures |
| MASE | Error measures |
| mcor | Multiple correlation |
| ME | Error measures |
| measures | Error measures for the provided forecasts |
| MIS | Error measures |
| MPE | Error measures |
| MRE | Error measures |
| MSE | Error measures |
-- N --
| nparam | Number of parameters and number of variates in the model |
| nvariate | Number of parameters and number of variates in the model |
-- O --
| outlierdummy | Outlier detection and matrix creation |
| outlierdummy.alm | Outlier detection and matrix creation |
| outlierdummy.default | Outlier detection and matrix creation |
-- P --
| pAIC | Point AIC |
| pAICc | Point AIC |
| palaplace | Asymmetric Laplace Distribution |
| pbcnorm | Box-Cox Normal Distribution |
| pBIC | Point AIC |
| pBICc | Point AIC |
| pcor | Partial correlations |
| pfnorm | Folded Normal Distribution |
| pgnorm | The generalized normal distribution |
| pinball | Pinball function |
| plaplace | Laplace Distribution |
| plogitnorm | Logit Normal Distribution |
| plot.alm | Plots of the fit and residuals |
| plot.dsrboot | Data Shape Replication Bootstrap |
| plot.greybox | Plots of the fit and residuals |
| plot.rmcb | Regression for Multiple Comparison with the Best |
| pointLik | Point likelihood values |
| polyprod | This function calculates parameters for the polynomials |
| prectnorm | Rectified Normal Distribution |
| predict.alm | Forecasting using greybox functions |
| predict.greybox | Forecasting using greybox functions |
| predict.scale | Forecasting using greybox functions |
| ps | S Distribution |
| ptplnorm | Three Parameter Log Normal Distribution |
-- Q --
| qalaplace | Asymmetric Laplace Distribution |
| qbcnorm | Box-Cox Normal Distribution |
| qfnorm | Folded Normal Distribution |
| qgnorm | The generalized normal distribution |
| qlaplace | Laplace Distribution |
| qlogitnorm | Logit Normal Distribution |
| qrectnorm | Rectified Normal Distribution |
| qs | S Distribution |
| qtplnorm | Three Parameter Log Normal Distribution |
-- R --
| ralaplace | Asymmetric Laplace Distribution |
| rAME | Error measures |
| rbcnorm | Box-Cox Normal Distribution |
| rectNormal | Rectified Normal Distribution |
| rfnorm | Folded Normal Distribution |
| rgnorm | The generalized normal distribution |
| rlaplace | Laplace Distribution |
| rlogitnorm | Logit Normal Distribution |
| rMAE | Error measures |
| rmcb | Regression for Multiple Comparison with the Best |
| rMIS | Error measures |
| RMSSE | Error measures |
| ro | Rolling Origin |
| rrectnorm | Rectified Normal Distribution |
| rRMSE | Error measures |
| rs | S Distribution |
| rtplnorm | Three Parameter Log Normal Distribution |
-- S --
| sCE | Error measures |
| SDistribution | S Distribution |
| sm | Scale Model |
| sm.alm | Scale Model |
| sm.default | Scale Model |
| sm.lm | Scale Model |
| sMIS | Error measures |
| sMSE | Error measures |
| sPIS | Error measures |
| spread | Construct scatterplot / boxplots for the data |
| stepwise | Stepwise selection of regressors |
| summary.alm | Coefficients of the model and their statistics |
-- T --
| tableplot | Construct a plot for categorical variable |
| temporaldummy | Dummy variables for provided seasonality type |
| temporaldummy.Date | Dummy variables for provided seasonality type |
| temporaldummy.default | Dummy variables for provided seasonality type |
| temporaldummy.POSIXt | Dummy variables for provided seasonality type |
| temporaldummy.ts | Dummy variables for provided seasonality type |
| temporaldummy.zoo | Dummy variables for provided seasonality type |
| TPLNormal | Three Parameter Log Normal Distribution |
-- V --
| vcov.alm | Coefficients of the model and their statistics |
| vcov.scale | Coefficients of the model and their statistics |
-- X --
| xregExpander | Exogenous variables expander |
| xregMultiplier | Exogenous variables cross-products |
| xregTransformer | Exogenous variables transformer |