Some 'MASS' Enhancements


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Documentation for package ‘MASSExtra’ version 1.1.2

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.normalise Normalise a vector
add_term Stepwise model construction and inspection
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
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)
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
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
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
zq Standardisation functions for models
zr Standardisation functions for models
zs Standardisation functions for models
zu Standardisation functions for models