Other packages > Find by keyword >

finnts  

Microsoft Finance Time Series Forecasting Framework
View on CRAN: Click here


Download and install finnts package within the R console
Install from CRAN:
install.packages("finnts")

Install from Github:
library("remotes")
install_github("cran/finnts")

Install by package version:
library("remotes")
install_version("finnts", "0.7.0")



Attach the package and use:
library("finnts")
Maintained by
Mike Tokic
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-07
Latest Update: 2024-10-25
Description:
Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used to forecast any component of the income statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time, Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn was built to meet the needs of financial analysts to better forecast their businesses within a company, and has a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
How to cite:
Mike Tokic (2022). finnts: Microsoft Finance Time Series Forecasting Framework. R package version 0.7.0, https://cran.r-project.org/web/packages/finnts. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-08-27 05:30), 0.1.0 (2022-02-07 10:40), 0.1.1 (2022-03-29 00:40), 0.2.0 (2022-07-14 17:40), 0.2.1 (2022-11-16 00:30), 0.2.2 (2023-02-12 01:40), 0.2.3 (2023-03-23 17:42), 0.2.4 (2023-04-14 18:40), 0.3.0 (2023-08-10 00:30), 0.4.0 (2023-12-01 10:40), 0.5.0 (2024-10-25 19:50), 0.6.0 (2025-09-04 19:00)
Other packages that cited finnts R package
View finnts citation profile
Other R packages that finnts depends, imports, suggests or enhances
Complete documentation for finnts
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA