Rdocumentation
powered by
Learn R Programming
MASSExtra
Software and data enhancing the tools in the MASS package
Copy Link
Link to current version
Version
Version
1.2.2
1.2.1
1.2.0
1.1.2
1.1.1
1.0.2
Install
install.packages('MASSExtra')
Monthly Downloads
928
Version
1.2.2
License
GPL-2 | GPL-3
Maintainer
Bill Venables
Last Published
February 16th, 2023
Functions in MASSExtra (1.2.2)
Search all functions
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