Package: ldamatch 1.0.3

ldamatch: Selection of Statistically Similar Research Groups

Select statistically similar research groups by backward selection using various robust algorithms, including a heuristic based on linear discriminant analysis, multiple heuristics based on the test statistic, and parallelized exhaustive search.

Authors:Kyle Gorman [aut, cre], Géza Kiss [aut]

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ldamatch.pdf |ldamatch.html✨
ldamatch/json (API)

# Install 'ldamatch' in R:
install.packages('ldamatch', repos = c('https://kylebgorman.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 9 scripts 286 downloads 1 mentions 18 exports 74 dependencies

Last updated 12 months agofrom:99a67f6817. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:ad_haltcalc_metricscalc_p_valuecompare_ldamatch_outputscreate_halting_testestimate_exhaustivef_haltget_paramks_haltl_haltmatch_groupsmatching_methodsnondeterministic_matching_methodsparallelized_matching_methodsset_paramt_haltU_haltwilks_halt

Dependencies:abindarrangementsbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11data.tableDerivdoBydplyrentropyfansifarverforeachFormulagenericsggplot2gluegmpgtableisobanditeratorsiterpckSampleslabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangRUnitscalesSparseMstringistringrSuppDistssurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

ldamatch demos

Kyle Gorman & Géza Kiss

Rendered fromldamatch-demos.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2024-04-15
Started: 2015-08-27

Readme and manuals

Help Manual

Help pageTopics
Determines which arguments for a function, which is its caller by default..get_if_args_are_missing
A univariate halting test using the Anderson-Darling test.ad_halt
Calculates basic metrics about ldamatch search result.calc_metrics
Calculates p-value using specified halting test.calc_p_value
Compares outputs of ldamatch runs.compare_ldamatch_outputs
Creates halting test from multiple tests.create_halting_test
Estimates the maximum number of cases to be checked during exhaustive search.estimate_exhaustive
A univariate halting test using Fisher's exact test.f_halt
Gets value for ldamatch global parameter.get_param
A univariate halting test using the Kolmogorov-Smirnov Test, which must be satisfied for all condition pairs.ks_halt
A univariate halting test using Levene's test.l_halt
Creates a matched group via backward selection.match_groups
The available methods for matching.matching_methods
The available nondeterministic methods for matching.nondeterministic_matching_methods
The available parallelized methods for matching.parallelized_matching_methods
Searches the space backwards, prefering more subjects and certain group size proportions.search_exhaustive
OBSOLETE: Finds matching using depth-first search recursively.search_heuristic2
Finds matching using depth-first search, looking ahead n steps.search_heuristic3
Finds matching using depth-first search, looking ahead n steps.search_heuristic4
Searches by randomly selecting subspaces with decreasing expected size.search_random
Sets value for ldamatch global parameter.set_param
A univariate halting test using the t-test, which must be satisfied for all condition pairs.t_halt
A univariate halting test using the Wilcoxon test, which must be satisfied for all condition pairs.U_halt
A multivariate halting test appropriate for more than two condition levels.wilks_halt