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ssMRCD
View on CRAN: Click
here
Download and install ssMRCD package within the R console
Install from CRAN:
install.packages("ssMRCD")
Install from Github:
library("remotes")
install_github("cran/ssMRCD")
Install by package version:
library("remotes")
install_version("ssMRCD", "1.1.0")
Attach the package and use:
library("ssMRCD")
Maintained by
Patricia Puchhammer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-15
Latest Update: 2023-05-15
Description:
Estimation of the Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage in an ssMRCD-based outlier detection method as described in Puchhammer and Filzmoser (2023) <doi:10.48550/arXiv.2305.05371>. Included are also complementary visualization and parameter tuning tools.
How to cite:
Patricia Puchhammer (2023). ssMRCD: Spatially Smoothed MRCD Estimator. R package version 1.1.0, https://cran.r-project.org/web/packages/ssMRCD. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-05-15 21:20)
Other packages that cited ssMRCD R package
View ssMRCD citation profile
Other R packages that ssMRCD depends,
imports, suggests or enhances
Complete documentation for ssMRCD
Functions, R codes and Examples using
the ssMRCD R package
Some associated functions: N_structure_gridbased . contamination_random . geo_weights . local_outliers_ssMRCD . objective_matrix . parameter_tuning . plot.locOuts . plot.ssMRCD . rescale_weights . restructure_as_list . ssMRCD . summary.locOuts . summary.ssMRCD . weatherAUT2021 .
Some associated R codes: check_input.R . data.R . helper_functions_application.R . helper_functions_ssMRCD.R . locOuts_methods.R . local_outliers_ssMRCD.R . parameter_tuning.R . ssMRCD.R . ssMRCD_methods.R . Full ssMRCD package functions and examples
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