This package is considered a duplicate. The official version of this package is found at:https://hanmingwu1103.r-universe.dev/dtGAP

Package: dtGAP 0.0.2

Han-Ming Wu

dtGAP: Supervised Generalized Association Plots Based on Decision Trees

Enhances decision tree visualization by incorporating Generalized Association Plots (GAP) through matrix-based visualizations including confusion matrix maps, decision tree matrix maps, and predicted class membership maps based on supervised correlation and distance metrics.

Authors:Chia-Yu Chang [aut], Chun-houh Chen [aut], Han-Ming Wu [cre, aut]

dtGAP_0.0.2.tar.gz
dtGAP_0.0.2.zip(r-4.7-any)dtGAP_0.0.2.zip(r-4.6-any)dtGAP_0.0.2.zip(r-4.5-any)
dtGAP_0.0.2.tgz(r-4.6-any)dtGAP_0.0.2.tgz(r-4.5-any)
dtGAP_0.0.2.tar.gz(r-4.7-any)dtGAP_0.0.2.tar.gz(r-4.6-any)
dtGAP_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dtGAP/json (API)

# Install 'dtGAP' in R:

install.packages('dtGAP', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hanmingwu1103/dtgap/issues

Datasets:

diabetes - Diabetes patient records.
galaxy - Galaxy dataset for regression.
penguins - Data of three different species of penguins.
Psychosis_Disorder - Psychosis Disorder Data
test_covid - External test dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18.
train_covid - Training dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18. Containing NAs.
wine - Results of a chemical analysis of wines grown in a specific area of Italy.
wine_quality_red - Red variant of the Portuguese "Vinho Verde" wine.

On CRAN:

archived packages r-universe

2.40 score 5 stars 1 scripts 255 downloads 22 exports 111 dependencies

Last updated from:f6116126e6 (on package/dtGAP). Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel	OK	227
source / vignettes	OK	251
linux-release	OK	237
macos-release	OK	161
macos-oldrel	OK	157
windows-devel	OK	172
windows-release	OK	174
windows-oldrel	OK	200
wasm-release	OK	170

Exports:add_data_type col_ht compare_dtGAP compute_layout compute_tree draw_all dtGAP eval_tree generate_legend_bundle get_split_vec make_main_heatmap prediction_annotation prepare_features prepare_tree rf_dtGAP rf_summary row_prop_anno save_dtGAP scale_norm sorted_mat train_rf train_tree

Dependencies:backports BiocGenerics C50 ca caret checkmate circlize class cli clock clue cluster codetools colorspace ComplexHeatmap cpp11 crayon Cubist data.table diagram digest doParallel dplyr e1071 farver foreach Formula future future.apply gclus generics GetoptLong ggparty ggplot2 GlobalOptions globals glue gower gtable hardhat inum ipred IRanges isoband iterators KernSmooth labeling lattice lava libcoin lifecycle listenv lubridate magrittr MASS Matrix matrixStats mgcv ModelMetrics mvtnorm nlme nnet numDeriv parallelly partykit permute pillar pkgconfig plyr png pROC prodlim progressr proxy purrr qap R6 RColorBrewer Rcpp recipes registry reshape2 rjson rlang rpart S4Vectors S7 sandwich scales seriation shape sparsevctrs SQUAREM stringi stringr strucchange survival tibble tidyr tidyselect timechange timeDate TSP tzdb utf8 vctrs vegan viridisLite withr yardstick zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Assigns a train/test indicator to a combined dataset	add_data_type
Compare Multiple Decision Tree Models Side-by-Side	compare_dtGAP
Compute Decision Tree Data for Plotting and Analysis	compute_tree
Diabetes patient records.	diabetes
Draw Full Visualization: Decision Tree with Heatmap and Evaluation	draw_all
Decision Tree Generalized Association Plots (dtGAP)	dtGAP
Evaluate Tree Model Predictions and Metrics	eval_tree
Galaxy dataset for regression.	galaxy
Data of three different species of penguins.	penguins
Prepare Features for Modeling	prepare_features
Prepare Tree Plot Data for Visualization	prepare_tree
Psychosis Disorder Data	Psychosis_Disorder
Visualize a Single Tree from a Conditional Random Forest	rf_dtGAP
Random Forest Ensemble Summary	rf_summary
Save dtGAP Visualization to File	save_dtGAP
Performs transformation on continuous variables.	scale_norm
Sort Feature Matrix by Tree and Correlation Structure	sorted_mat
External test dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18.	test_covid
Training dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18. Containing NAs.	train_covid
Fit a Conditional Random Forest	train_rf
Fit a Decision Tree Model	train_tree
Results of a chemical analysis of wines grown in a specific area of Italy.	wine
Red variant of the Portuguese "Vinho Verde" wine.	wine_quality_red