AICc                    Corrected Akaike's Information Criterion and
                        Bayesian Information Criterion
B                       Create Lagged or Lead Variables for Time Series
                        Regression
Distributions           Distribution functions of the greybox package
ME                      Error measures
accuracy.greybox        Error measures for an estimated model
actuals                 Function extracts the actual values from the
                        function
aid                     Automatic Identification of Demand
alm                     Augmented Linear Model
association             Measures of association
calm                    Combine regressions based on information
                        criteria
coef.greybox            Coefficients of the model and their statistics
coefbootstrap           Bootstrap for parameters of models
cramer                  Calculate Cramer's V for categorical variables
dalaplace               Asymmetric Laplace Distribution
dbcnorm                 Box-Cox Normal Distribution
detectdst               DST and Leap year detector functions
determination           Coefficients of determination
dfnorm                  Folded Normal Distribution
dgnorm                  The generalized normal distribution
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
errorType               Functions that extracts type of error from the
                        model
extractScale            Functions to extract scale and standard error
                        from a model
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
is.greybox              Greybox classes checkers
lmDynamic               Combine regressions based on point information
                        criteria
mcor                    Multiple correlation
measures                Error measures for the provided forecasts
multipliers             Dynamic multipliers from an ARDL model
nparam                  Number of parameters and number of variates in
                        the model
outlierdummy            Outlier detection and matrix creation
pAIC                    Point AIC
pcor                    Partial correlations
pinball                 Pinball function
plot.greybox            Plots of the fit and residuals
pointLik                Point likelihood values
polyprod                This function calculates parameters for the
                        polynomials
predict.alm             Forecasting using greybox functions
rmcb                    Regression for Multiple Comparison with the
                        Best
ro                      Rolling Origin
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
xregExpander            Exogenous variables expander
xregMultiplier          Exogenous variables cross-products
xregTransformer         Exogenous variables transformer
