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MASSExtra
Software and data enhancing the tools in the MASS package
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Version
Version
1.2.2
1.2.1
1.2.0
1.1.2
1.1.1
1.0.2
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Install
install.packages('MASSExtra')
Monthly Downloads
498
Version
1.2.2
License
GPL-2 | GPL-3
Maintainer
Bill Venables
Last Published
February 16th, 2023
Functions in MASSExtra (1.2.2)
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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