# Toolbox for Model Building and Forecasting

## Documentation for package ‘greybox’ version 0.5.9

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

## Help Pages

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
AICc | Corrected Akaike's Information Criterion and Bayesian Information Criterion
alm | Advanced Linear Model
assoc | Measures of association
association | Measures of association
BICc | Corrected Akaike's Information Criterion and Bayesian Information Criterion
cbias | Half moment of a distribution and its derivatives.
cramer | Calculate Cramer's V for categorical variables
dalaplace | Asymmetric Laplace Distribution
dbcnorm | Box-Cox Normal Distribution
determ | Coefficients of determination
determination | Coefficients of determination
dfnorm | Folded Normal Distribution
dlaplace | Laplace Distribution
ds | S Distribution
dtplnorm | Three Parameter Log Normal Distribution
Errors | Error measures
errorType | Functions that extracts type of error from the model
forecast | Forecasting using greybox functions
forecast.alm | Forecasting using greybox functions
forecast.greybox | Forecasting using greybox functions
graphmaker | Linear graph construction function
greybox | Grey box
ham | Half moment of a distribution and its derivatives.
hm | Half moment of a distribution and its derivatives.
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
lmCombine | Combine regressions based on information criteria
lmDynamic | Combine regressions based on point information criteria
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
nparam | Number of parameters in the model
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
pinball | Pinball function
plaplace | Laplace Distribution
plot.alm | Plots of the fit and residuals
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
predict.alm | Forecasting using greybox functions
predict.greybox | Forecasting using greybox functions
ps | S Distribution
ptplnorm | Three Parameter Log Normal Distribution
qalaplace | Asymmetric Laplace Distribution
qbcnorm | Box-Cox Normal Distribution
qfnorm | Folded Normal Distribution
qlaplace | Laplace Distribution
qs | S Distribution
qtplnorm | Three Parameter Log Normal Distribution
ralaplace | Asymmetric Laplace Distribution
rAME | Error measures
rbcnorm | Box-Cox Normal Distribution
RelAME | Error measures
RelMAE | Error measures
RelMIS | Error measures
RelRMSE | Error measures
rfnorm | Folded Normal Distribution
rlaplace | Laplace Distribution
rMAE | Error measures
rmcb | Regression for Multiple Comparison with the Best
rMIS | Error measures
RMSSE | Error measures
ro | Rolling Origin
rRMSE | Error measures
rs | S Distribution
rtplnorm | Three Parameter Log Normal Distribution
sCE | Error measures
sMIS | Error measures
sMSE | Error measures
sPIS | Error measures
spread | Construct scatterplot / boxplots for the data
stepwise | Stepwise selection of regressors
tableplot | Construct a plot for categorical variable
xregExpander | Exogenous variables expander
xregMultiplier | Exogenous variables cross-products
xregTransformer | Exogenous variables transformer