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partition
View on CRAN: Click
here
Download and install partition package within the R console
Install from CRAN:
install.packages("partition")
Install from Github:
library("remotes")
install_github("cran/partition")
Install by package version:
library("remotes")
install_version("partition", "0.2.0")
Attach the package and use:
library("partition")
Maintained by
Malcolm Barrett
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-17
Latest Update: 2024-01-24
Description:
A fast and flexible framework for agglomerative partitioning.
'partition' uses an approach called Direct-Measure-Reduce to create
new variables that maintain the user-specified minimum level of
information. Each reduced variable is also interpretable: the original
variables map to one and only one variable in the reduced data set.
'partition' is flexible, as well: how variables are selected to
reduce, how information loss is measured, and the way data is reduced
can all be customized. 'partition' is based on the Partition
framework discussed in Millstein et al. (2020)
.
How to cite:
Malcolm Barrett (2019). partition: Agglomerative Partitioning Framework for Dimension Reduction. R package version 0.2.0, https://cran.r-project.org/web/packages/partition
Previous versions and publish date:
Other packages that cited partition R package
View partition citation profile
Other R packages that partition depends,
imports, suggests or enhances
Functions, R codes and Examples using
the partition R package
Some associated functions: all_columns_reduced . all_done . append_mappings . as_director . as_measure . as_partition . as_partition_helpers . as_partition_step . as_partitioner . as_reducer . assign_partition . baxter_data . binary_k_search . build_next_name . calculate_new_variable . compare_k . compare_metric . corr . direct_distance . direct_k_cluster . direct_measure_reduce . filter_reduced . find_min_distance_variables . fit_distance_matrix . guess_init_k . handle_missing . hits . icc . icc_r . is_partition . is_partition_step . is_partitioner . is_same_function . k_exhausted . kmeans_helpers . linear_k_search . map_partition . mapping_helpers . mapping_key . matrix_is_exhausted . measure_icc . measure_min_icc . measure_min_r2 . measure_std_mutualinfo . measure_variance_explained . mutual_information . part_icc . part_kmeans . part_minr2 . part_pc1 . part_stdmi . partition . partition_scores . paste_partitioners . permute_df . pipe . plot_partitions . plot_permutation . print_color . print_helpers . pull_mappings . reduce_first_component . reduce_kmeans . reduce_mappings . reduce_scaled_mean . reduce_target . replace_partitioner . return_if_single . rewind_target . scaled_mean . search_k . simplify_names . simulate_block_data . super_partition . test_permutation . update_dist .
Some associated R codes: RcppExports.R . data.R . directors.R . mappings.R . metrics.R . mutual_information.R . partition.R . partitioners.R . permutation.R . plot.R . print.R . reducers.R . simulate_block.R . super_partition.R . utils-pipe.R . utils.R . Full partition package functions and examples
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