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", "0.6.0")



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 0.6.0, https://cran.r-project.org/web/packages/finnts. Accessed 25 Jun. 2026.
Previous versions and publish date:
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)
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

edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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