Other packages > Find by keyword >

daltoolbox  

Leveraging Experiment Lines to Data Analytics
View on CRAN: Click here


Download and install daltoolbox package within the R console
Install from CRAN:
install.packages("daltoolbox")

Install from Github:
library("remotes")
install_github("cran/daltoolbox")

Install by package version:
library("remotes")
install_version("daltoolbox", "1.2.747")



Attach the package and use:
library("daltoolbox")
Maintained by
Eduardo Ogasawara
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-30
Latest Update: 2025-06-28
Description:
The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) .
How to cite:
Eduardo Ogasawara (2023). daltoolbox: Leveraging Experiment Lines to Data Analytics. R package version 1.2.747, https://cran.r-project.org/web/packages/daltoolbox. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 19:50), 1.0.77 (2023-06-30 13:40), 1.0.707 (2023-07-18 05:10), 1.0.717 (2023-07-22 12:40), 1.0.727 (2023-10-25 23:40), 1.0.747 (2024-03-25 08:20), 1.0.767 (2024-04-01 00:30), 1.0.787 (2024-11-03 06:30), 1.1.727 (2024-11-25 06:10), 1.1.737 (2025-04-21 09:00), 1.1.747 (2025-04-28 15:30), 1.2.707 (2025-05-13 08:20), 1.2.717 (2025-06-22 00:00), 1.2.727 (2025-06-28 18:20), 1.2.737 (2025-08-20 19:00), 1.2.747 (2025-10-27 07:10), 1.3.717 (2026-02-10 07:10), 1.3.727 (2026-03-12 07:10), 1.3.747 (2026-05-14 07:30)
Other packages that cited daltoolbox R package
View daltoolbox citation profile
Other R packages that daltoolbox depends, imports, suggests or enhances
Complete documentation for daltoolbox
Functions, R codes and Examples using the daltoolbox R package
Some associated functions: Boston . MSE.ts . action.dal_transform . action . adjust_class_label . adjust_data.frame . adjust_factor . adjust_matrix . adjust_ts_data . autoenc_encode . autoenc_encode_decode . categ_mapping . cla_dtree . cla_knn . cla_majority . cla_mlp . cla_nb . cla_rf . cla_svm . cla_tune . classification . clu_tune . cluster . cluster_dbscan . cluster_kmeans . cluster_pam . clusterer . dal_base . dal_learner . dal_transform . dal_tune . data_sample . do_fit . do_predict . dt_pca . evaluate . fit.cla_tune . fit.cluster_dbscan . fit . fit_curvature_max . fit_curvature_min . inverse_transform . k_fold . minmax . outliers . plot_bar . plot_boxplot . plot_boxplot_class . plot_density . plot_density_class . plot_groupedbar . plot_hist . plot_lollipop . plot_pieplot . plot_points . plot_radar . plot_scatter . plot_series . plot_stackedbar . plot_ts . plot_ts_pred . predictor . reg_dtree . reg_knn . reg_mlp . reg_rf . reg_svm . reg_tune . regression . sMAPE.ts . sample_random . sample_stratified . select_hyper.cla_tune . select_hyper . select_hyper.ts_tune . set_params.default . set_params . sin_data . smoothing . smoothing_cluster . smoothing_freq . smoothing_inter . sub-.ts_data . train_test . train_test_from_folds . transform . ts_arima . ts_conv1d . ts_data . ts_elm . ts_head . ts_knn . ts_lstm . ts_mlp . ts_norm_an . ts_norm_diff . ts_norm_ean . ts_norm_gminmax . ts_norm_swminmax . ts_projection . ts_reg . ts_regsw . ts_rf . ts_sample . ts_svm . ts_tune . zscore . 
Some associated R codes: cla_classification.R . cla_dtree.R . cla_knn.R . cla_majority.R . cla_mlp.R . cla_nb.R . cla_rf.R . cla_svm.R . cla_tune.R . clu_clusterer.R . clu_dbscan.R . clu_kmeans.R . clu_pam.R . clu_tune.R . dal_adjust.R . dal_base.R . dal_learner.R . dal_predictor.R . dal_tune.R . data.R . globals.R . graphics.R . reg_dtree.R . reg_knn.R . reg_mlp.R . reg_regression.R . reg_rf.R . reg_svm.R . reg_tune.R . trans_autoenc_encode.R . trans_autoenc_encode_decode.R . trans_categ_mapping.R . trans_dt_pca.R . trans_fit_curvature_max.R . trans_fit_curvature_min.R . trans_norm_minmax.R . trans_norm_zscore.R . trans_outliers.R . trans_sample.R . trans_sample_random.R . trans_sample_strat.R . trans_smoothing.R . trans_smoothing_cluster.R . trans_smoothing_freq.R . trans_smoothing_inter.R . trans_transform.R . ts_arima.R . ts_conv1d.R . ts_data.R . ts_elm.R . ts_knn.R . ts_lstm.R . ts_mlp.R . ts_norm_an.R . ts_norm_diff.R . ts_norm_ean.R . ts_norm_gminmax.R . ts_norm_swminmax.R . ts_projection.R . ts_reg.R . ts_regsw.R . ts_rf.R . ts_sample.R . ts_svm.R . ts_tune.R .  Full daltoolbox package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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