Package: predtools 0.0.3

Amin Adibi

predtools: Prediction Model Tools

Provides additional functions for evaluating predictive models, including plotting calibration curves and model-based Receiver Operating Characteristic (mROC) based on Sadatsafavi et al (2021) <arxiv:2003.00316>.

Authors:Mohsen Sadatsafavi [aut, cph], Amin Adibi [cre], Abdollah Safari [aut], Tae Yoon Lee [aut]

predtools_0.0.3.tar.gz
predtools_0.0.3.zip(r-4.7-x86_64)predtools_0.0.3.zip(r-4.7-arm64)predtools_0.0.3.zip(r-4.6-x86_64)predtools_0.0.3.zip(r-4.6-arm64)predtools_0.0.3.zip(r-4.5-x86_64)
predtools_0.0.3.tgz(r-4.6-x86_64)predtools_0.0.3.tgz(r-4.6-arm64)predtools_0.0.3.tgz(r-4.5-x86_64)predtools_0.0.3.tgz(r-4.5-arm64)
predtools_0.0.3.tar.gz(r-4.7-arm64)predtools_0.0.3.tar.gz(r-4.7-x86_64)predtools_0.0.3.tar.gz(r-4.6-arm64)predtools_0.0.3.tar.gz(r-4.6-x86_64)
predtools_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
predtools/json (API)

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

Bug tracker:https://github.com/resplab/predtools/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • dev_data - Model development data
  • gusto - Anonymized data from the gusto trial
  • val_data - Model validation data

On CRAN:

Conda:

cpp

7.66 score 12 stars 1 packages 157 scripts 391 downloads 11 exports 29 dependencies

Last updated from:4d90f59c22. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE130
linux-devel-x86_64NOTE139
source / vignettesOK172
linux-release-arm64NOTE134
linux-release-x86_64NOTE163
macos-release-arm64NOTE139
macos-release-x86_64NOTE222
macos-oldrel-arm64NOTE136
macos-oldrel-x86_64NOTE182
windows-devel-arm64NOTE337
windows-devel-x86_64NOTE147
windows-release-arm64NOTE353
windows-release-x86_64NOTE132
windows-oldrel-x86_64NOTE109
wasm-releaseOK110

Exports:calc_mROC_statscalc_NB_momentscalibration_plotevpi_valmAUCmROCmROC_analysismROC_inferencemu_max_trunc_bvnodds_adjustpred_summary_stat

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrmvtnormpillarpkgconfigpROCR6RColorBrewerRConicsRcpprlangS7scalestibbletidyselectutf8vctrsviridisLitewithr

Unit Normal Loss Integral in Two Dimensions
Background | What is UNLI? | UNLI with Application in VoI Analysis | 2D UNLI | Tutorial | Installation | Set-up | Simulated data | EVPI calculation

Last update: 2022-10-19
Started: 2022-10-19

Calibration Plot
What is calibration plot? | A step-by-step guide.

Last update: 2022-08-08
Started: 2021-09-25

Intercept Adjustment
What is intercept adjustment? | A step-by-step guide.

Last update: 2022-07-08
Started: 2021-09-24

Model-based ROC
What is mROC? | Installation | How the package works | A step-by-step guide. | Important note: the statistical inference on comparing mROC and ROC cannot be used for internal validation. Such a test is made for external validation.

Last update: 2021-09-24
Started: 2021-09-13