This package provides a general imputation framework based on
variable selection methods including regularisation methods,
tree-based models and dimension reduction methods.
caret, reshape2, glmnet, pls, rda, Cubist, ridge, gbm, mboost,
rpart,

Lingbing Feng, Steffen Moritz, Gen Nowak, Alan. H. Welsh, Terry. J. O'Neill
General imputation framework based on
variable selection methods including regularisation methods,
tree-based models and dimension reduction methods.
caret, reshape2, glmnet, pls, rda, Cubist, ridge, gbm, mboost,
rpart

A General Multivariate Imputation Framework
c(
person("Steffen", "Moritz", email="steffen.moritz10@gmail.com", role=c("aut", "cre"), comment = c(ORCID = "0000-0002-0085-1804")),person("Lingbing", "Feng", role=c("aut")),person("Gen", "Nowak", role=c("ctb")),person("Alan. H.", "Welsh", role=c("ctb")),person("Terry. J.", "O'Neill", role=c("ctb"))
)
Steffen Moritz [aut, cre] (<https://orcid.org/0000-0002-0085-1804>),
Lingbing Feng [aut],
Gen Nowak [ctb],
Alan. H. Welsh [ctb],
Terry. J. O'Neill [ctb]
Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.
testthat, rda, caret, glmnet, pls, Cubist, ridge, gbm,
mboost, rpart, earth

testthat, caret, glmnet, pls, Cubist, ridge, gbm, mboost,
rpart, earth

Impute Missing Rare Earth Element Data Using a Lattice-Strain
Derived Method
person(given = "Carlos",
family = "Carrasco Godoy",
role = c("aut", "cre"),
email = c("carlos.Carrasco@anu.edu.au", "ccarrasco@outlook.cl"),
comment = c(ORCID = "0000-0003-4914-186X"))
Set of functions that fit a linear regression to calculate missing
Rare Earth Element (REE) in zircon based on a method derived from the lattice
strain theory of Blundy and Wood (1994)<doi:10.1038/372452a0>.
tibble, dplyr, magrittr, tidyr, stringr, purrr, rlang, broom
Carlos Carrasco Godoy [aut, cre]
(<https://orcid.org/0000-0003-4914-186X>)