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tsfngm

0.1.0

Time Series Forecasting using Nonlinear Growth Models

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2.5Kdownloads / year
test coverage
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Overview

About
Maintained by Mrinmoy RayFirst published 2021-09-231 releasesCRAN page ↗

Nonlinear growth models are extremely useful in gaining insight into the underlying mechanism. These models are generally 'mechanistic,' with parameters that have biological meaning. This package allows you to fit and forecast time series data using nonlinear growth models.

Install

Health

CRAN checks
13OK
Slowest check: 43 s · r-release-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
1
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
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Return-value docs
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References docs
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Downloads

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Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (2)
R >= 2.6stats
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (4)
Contributor
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2021-09-23
Total releases
1 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 2.6
Download size
2.6 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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