Package: tsfngm 0.1.0

Mrinmoy Ray

tsfngm: Time Series Forecasting using Nonlinear Growth Models

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.

Authors:Mrinmoy Ray [aut, cre], K. N. Singh [ctb], Kanchan Sinha [ctb], Rajeev Ranjan Kumar [ctb], Prakash Kumar [ctb]

tsfngm_0.1.0.tar.gz
tsfngm_0.1.0.tar.gz(r-4.5-noble)tsfngm_0.1.0.tar.gz(r-4.4-noble)
tsfngm_0.1.0.tgz(r-4.4-emscripten)tsfngm_0.1.0.tgz(r-4.3-emscripten)
tsfngm.pdf |tsfngm.html
tsfngm/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 200 downloads 1 exports 0 dependencies

Last updated 3 years agofrom:448f7ed153. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-linuxOKNov 12 2024

Exports:FFNGM

Dependencies: