R Observatory: Metrics for epicasting version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

epicasting

0.1.0Package record

Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting

0packages depend

2.7Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Tanujit ChakrabortyCRAN page ↗

Method and tool for generating time series forecasts using an ensemble wavelet-based auto-regressive neural network architecture. This method provides additional support of exogenous variables and also generates confidence interval. This package provides EWNet model for time series forecasting based on the algorithm by Panja, et al. (2022) and Panja, et al. (2023) arXiv:2206.10696 doi:10.1016/j.chaos.2023.113124.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("epicasting", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-epicasting

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-epicasting

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-epicasting

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Tanujit Chakraborty <tanujitisi@gmail.com>’

The Description field contains
  et al. (2023) <arXiv:2206.10696> <doi:10.1016/j.chaos.2023.113124>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 1
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 86%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #17,235 · ~7/day · ~227/mo

Releases R versions

Daily download trend is not available in this view yet.

25030 days

74490 days

2.7K1 year

Compare downloads with other packages →

Also on89 r2u1 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing epicasting adds 30 packages (17 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, colorspace 2.0 MB, Rcpp 1.8 MB.

Depends (1)

datasets

Imports (4)

forecast Metricsstatswavelets

LinkingTo (0)

none

Suggests (1)

ggplot2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Tanujit Chakraborty

Madhurima Panja

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.0Latest
record
2023-03-22 · current release
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-03-22
Total releases: 1 / 3 yrs
License: GPL (>= 2) OSI
Download size: 3.6 KB

Appears in task views

Epidemiology

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("epicasting")

Format

Chakraborty, T., & Panja, M. (2023). epicasting: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.epicasting

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for epicasting version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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