.normalise              Normalise a vector
Boston                  Boston
Cars93                  Cars93
GIC                     Intermediate Information Criterion
as_complex              Coerce to complex
avoid                   Avoid overlaps
bc                      Box-Cox transform
bc_inv                  Box-Cox transform inverse
box_cox                 Box-cox constructor function
default_test            Guess the default test
eigen2                  Generalized eigenvalue problem
givens_orth             Givens orthogonalisation
gs_orth_modified        Gram-Schmidt orthogonalization
hr_levels               #' @rdname kde_1d #' @export kernelBiweight <-
                        function(x, mean = 0, sd = 1) h <- sqrt(7)*sd
                        ifelse((z <- abs(x-mean)) < h, 15/16*(1 -
                        (z/h)^2)^2/h, 0)
kde_1d                  One-dimensional Kernel Density Estimate
kde_2d                  A Two-dimensional Kernel Density Estimate
lambda                  Find the box-cox transform exponent estimate
makepredictcall.normalise
                        Method function for safe prediction
mean_c                  Mean and variance for a circular sample
plot.drop_term          drop_term plot method
print.lambda            Print method for Box-Cox objects
quine                   quine
step_AIC                Stepwise model construction and inspection
step_down               Naive backeward elimination
unitChange              Unit change functions
usr2in                  Conversion functions for plotting
vcovx                   Extended variance matrix
which_tri               Which in lower/upper triangle
whiteside               whiteside
xy-class                An S4 class to represent alternavive complex,
                        matrix or list input forms.
zs                      Standardisation functions for models
