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noisemodel
View on CRAN: Click
here
Download and install noisemodel package within the R console
Install from CRAN:
install.packages("noisemodel")
Install from Github:
library("remotes")
install_github("cran/noisemodel")
Install by package version:
library("remotes")
install_version("noisemodel", "1.0.2")
Attach the package and use:
library("noisemodel")
Maintained by
José A. Sáez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.noisemodel . noisemodel results . noisemodel.pdf . Introduction to the noisemodel package . noisemodel_1.0.2.tar.gz . noisemodel_1.0.2.zip . noisemodel_1.0.2.zip . noisemodel_1.0.2.zip . noisemodel_1.0.2.tgz . noisemodel_1.0.2.tgz . noisemodel_1.0.2.tgz . noisemodel_1.0.2.tgz . noisemodel_1.0.2.tgz . noisemodel_1.0.2.tgz . https://CRAN.R-project.org/package=noisemodel .
First Published: 2022-10-17
Latest Update: 2022-10-17
Description:
Implementation of models for the controlled introduction of errors in
classification datasets. This package contains the noise models described in
Saez (2022) that allow corrupting class labels,
attributes and both simultaneously.
How to cite:
José A. Sáez (2022). noisemodel: Noise Models for Classification Datasets. R package version 1.0.2, https://cran.r-project.org/web/packages/noisemodel. Accessed 30 Mar. 2025.
Previous versions and publish date:
No previous versions
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imports, suggests or enhances
Complete documentation for noisemodel
Functions, R codes and Examples using
the noisemodel R package
Some associated functions: asy_def_ln . asy_int_an . asy_spa_ln . asy_uni_an . asy_uni_ln . attm_uni_ln . bord_dist . bord_noise . boud_gau_an . clu_vot_ln . diris2D . exp_bor_ln . exps_cuni_ln . findnoise . fra_bdir_ln . gam_bor_ln . gau_bor_ln . gaum_bor_ln . glev_uni_ln . hubp_uni_ln . imp_int_an . iris2D . irs_bdir_ln . lap_bor_ln . larm_uni_ln . maj_udir_ln . mind_bdir_ln . minp_uni_ln . mis_pre_ln . mulc_udir_ln . nei_bor_ln . nlin_bor_ln . noisetype . oned_uni_ln . opes_idnn_ln . opes_idu_ln . pai_bdir_ln . plot.ndmodel . pmd_con_ln . print.ndmodel . print.sum.ndmodel . qua_uni_ln . runif_replace . safe_sample . sample_replace . sco_con_ln . sigb_uni_ln . smam_bor_ln . smu_cuni_ln . summary.ndmodel . sym_adj_ln . sym_cen_ln . sym_con_ln . sym_cuni_an . sym_cuni_cn . sym_cuni_ln . sym_ddef_ln . sym_def_ln . sym_dia_ln . sym_dran_ln . sym_end_an . sym_exc_ln . sym_gau_an . sym_hie_ln . sym_hienc_ln . sym_int_an . sym_natd_ln . sym_nean_ln . sym_nexc_ln . sym_nuni_ln . sym_opt_ln . sym_pes_ln . sym_sgau_an . sym_uni_an . sym_uni_ln . sym_usim_ln . symd_gau_an . symd_gimg_an . symd_rpix_an . symd_uni_an . ugau_bor_ln . ulap_bor_ln . unc_fixw_an . unc_vgau_an . uncs_guni_cn .
Some associated R codes: 000_common.R . 001_asy_def_ln.R . 002_asy_spa_ln.R . 003_asy_uni_ln.R . 004_attm_uni_ln.R . 005_clu_vot_ln.R . 006_exp_bor_ln.R . 007_exps_cuni_ln.R . 008_fra_bdir_ln.R . 009_gam_bor_ln.R . 010_gau_bor_ln.R . 011_glev_uni_ln.R . 012_gaum_bor_ln.R . 013_hubp_uni_ln.R . 014_irs_bdir_ln.R . 015_lap_bor_ln.R . 016_larm_uni_ln.R . 017_maj_udir_ln.R . 018_mind_bdir_ln.R . 019_minp_uni_ln.R . 020_mis_pre_ln.R . 021_mulc_udir_ln.R . 022_nei_bor_ln.R . 023_nlin_bor_ln.R . 024_oned_uni_ln.R . 025_opes_idnn_ln.R . 026_opes_idu_ln.R . 027_pai_bdir_ln.R . 028_pmd_con_ln.R . 029_qua_uni_ln.R . 030_sco_con_ln.R . 031_sigb_uni_ln.R . 032_smam_bor_ln.R . 033_smu_cuni_ln.R . 034_sym_adj_ln.R . 035_sym_cen_ln.R . 036_sym_cuni_ln.R . 037_sym_con_ln.R . 038_sym_def_ln.R . 039_sym_dia_ln.R . 040_sym_ddef_ln.R . 041_sym_dran_ln.R . 042_sym_exc_ln.R . 043_sym_hie_ln.R . 044_sym_hienc_ln.R . 045_sym_natd_ln.R . 046_sym_nean_ln.R . 047_sym_nexc_ln.R . 048_sym_nuni_ln.R . 049_sym_opt_ln.R . 050_sym_pes_ln.R . 051_sym_uni_ln.R . 052_sym_usim_ln.R . 053_ugau_bor_ln.R . 054_ulap_bor_ln.R . 055_asy_int_an.R . 056_asy_uni_an.R . 057_boud_gau_an.R . 058_imp_int_an.R . 059_sym_cuni_an.R . 060_sym_end_an.R . 061_sym_gau_an.R . 062_sym_int_an.R . 063_sym_sgau_an.R . 064_sym_uni_an.R . 065_symd_gau_an.R . 066_symd_gimg_an.R . 067_symd_rpix_an.R . 068_symd_uni_an.R . 069_unc_fixw_an.R . 070_unc_vgau_an.R . 071_sym_cuni_cn.R . 072_uncs_guni_cn.R . diris2D.R . iris2D.R . ndmodel.R . Full noisemodel package functions and examples
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