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finnts
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", "0.4.0")
Attach the package and use:
library("finnts")
Maintained by
Mike Tokic
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-07
Latest Update: 2023-12-01
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 0.4.0, https://cran.r-project.org/web/packages/finnts
Previous versions and publish date:
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Other R packages that finnts depends,
imports, suggests or enhances
Functions, R codes and Examples using
the finnts R package
Some associated functions: ensemble_models . final_models . forecast_time_series . get_forecast_data . get_prepped_data . get_prepped_models . get_run_info . get_trained_models . list_models . prep_data . prep_models . set_run_info . train_models .
Some associated R codes: ensemble_models.R . feature_selection.R . final_models.R . forecast_time_series.R . hierarchy.R . input_checks.R . models.R . parallel_util.R . prep_data.R . prep_models.R . read_write_data.R . run_info.R . train_models.R . utility.R . Full finnts package functions and examples
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