Other packages > Find by keyword >

noisemodel  

Noise Models for Classification Datasets
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]
All associated links for this package
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 02 Nov. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited noisemodel R package
View noisemodel citation profile
Other R packages that noisemodel depends, 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

palaeoverse  
Prepare and Explore Data for Palaeobiological Analyses
Provides functionality to support data preparation and exploration for palaeobiological analyses, i ...
Download / Learn more Package Citations See dependency  
aws.translate  
Client for 'AWS Translate'
A client for 'AWS Translate' , a machine translation ...
Download / Learn more Package Citations See dependency  
VFP  
Variance Function Program
Variance function estimation for models proposed by W. Sadler in his variance function program ('VF ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
SemiEstimate  
Solve Semi-Parametric Estimation by Implicit Profiling
Semi-parametric estimation problem can be solved by two-step Newton-Raphson iteration. The implicit ...
Download / Learn more Package Citations See dependency  
EDOtrans  
Euclidean Distance-Optimized Data Transformation
A data transformation method which takes into account the special property of scale non-invariance w ...
Download / Learn more Package Citations See dependency  

29,315

R Packages

247,686

Dependencies

77,531

Author Associations

29,316

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA