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MASSExtra

Software and data enhancing the tools in the MASS package

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Version

Install

install.packages('MASSExtra')

Monthly Downloads

928

Version

1.2.2

License

GPL-2 | GPL-3

Maintainer

Last Published

February 16th, 2023

Functions in MASSExtra (1.2.2)

default_test

Guess the default test
.normalise

Normalise a vector
GIC

Intermediate Information Criterion
as_complex

Coerce to complex
plot.drop_term

drop_term plot method
mean_c

Mean and variance for a circular sample
lambda

Find the box-cox transform exponent estimate
kde_2d

A Two-dimensional Kernel Density Estimate
makepredictcall.normalise

Method function for safe prediction
kde_1d

One-dimensional Kernel Density Estimate
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)
unitChange

Unit change functions
usr2in

Conversion functions for plotting
reexports

Objects exported from other packages
vcovx

Extended variance matrix
which_tri

Which in lower/upper triangle
step_AIC

Stepwise model construction and inspection
step_down

Naive backeward elimination
xy-class

An S4 class to represent alternavive complex, matrix or list input forms.
print.lambda

Print method for Box-Cox objects
quine

quine
whiteside

whiteside
zs

Standardisation functions for models
bc_inv

Box-Cox transform inverse
avoid

Avoid overlaps
bc

Box-Cox transform
Boston

Boston
box_cox

Box-cox constructor function
Cars93

Cars93