Some 'MASS' Enhancements

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Documentation for package ‘MASSExtra’ version 1.2.2

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.normalise Normalise a vector
add_term Stepwise model construction and inspection
as_complex Coerce to complex
as_complex-method Coerce to complex
avoid Avoid overlaps
avoid-method Avoid overlaps
bc Box-Cox transform
bc_inv Box-Cox transform inverse
Boston Boston
box_cox Box-cox constructor function
box_cox-method Box-cox constructor function
Cars93 Cars93
cm2in Unit change functions
default_test Guess the default test
default_test.default Guess the default test
default_test.glm Guess the default test
default_test.glmerMod Guess the default test
default_test.lm Guess the default test
default_test.lmerMod Guess the default test
default_test.multinom Guess the default test
default_test.negbin Guess the default test
default_test.polr Guess the default test
drop_term Stepwise model construction and inspection
eigen2 Generalized eigenvalue problem
GIC Intermediate Information Criterion
givens_orth Givens orthogonalisation
gs_orth Gram-Schmidt orthogonalization
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)
hr_levels.default #' @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)
hr_levels.kde_2d #' @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)
in2cm Unit change functions
in2mm Unit change functions
in2usr Conversion functions for plotting
in2usr-method Conversion functions for plotting
kde_1d One-dimensional Kernel Density Estimate
kde_2d A Two-dimensional Kernel Density Estimate
lambda Find the box-cox transform exponent estimate
lambda.box_cox Find the box-cox transform exponent estimate
lambda.default Find the box-cox transform exponent estimate
lambda.formula Find the box-cox transform exponent estimate
lambda.lm Find the box-cox transform exponent estimate
makepredictcall.normalise Method function for safe prediction
mean_c Mean and variance for a circular sample
mm2in Unit change functions
plot.box_cox Box-cox constructor function
plot.drop_term drop_term plot method
plot.kde_1d One-dimensional Kernel Density Estimate
plot.kde_2d A Two-dimensional Kernel Density Estimate
print.box_cox Box-cox constructor function
print.kde_1d One-dimensional Kernel Density Estimate
print.kde_2d A Two-dimensional Kernel Density Estimate
print.lambda Print method for Box-Cox objects
quine quine
step_AIC Stepwise model construction and inspection
step_BIC Stepwise model construction and inspection
step_down Naive backeward elimination
step_GIC Stepwise model construction and inspection
unitChange Unit change functions
usr2in Conversion functions for plotting
usr2in-method Conversion functions for plotting
var_c Mean and variance for a circular sample
vcovx Extended variance matrix
vcovx.default Extended variance matrix
vcovx.negbin 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.
zq Standardisation functions for models
zr Standardisation functions for models
zs Standardisation functions for models
zu Standardisation functions for models