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roll  

Rolling and Expanding Statistics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("roll", "1.1.7")



Attach the package and use:
library("roll")
Maintained by
Jason Foster
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-03
Latest Update: 2020-07-13
Description:
Fast and efficient computation of rolling and expanding statistics for time-series data.
How to cite:
Jason Foster (2016). roll: Rolling and Expanding Statistics. R package version 1.1.7, https://cran.r-project.org/web/packages/roll. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2016-04-03 17:18), 1.0.1 (2016-04-05 00:11), 1.0.2 (2016-04-07 07:45), 1.0.3 (2016-05-08 09:55), 1.0.4 (2016-07-05 13:20), 1.0.5 (2016-08-29 17:49), 1.0.6 (2016-09-19 12:38), 1.0.7 (2017-05-01 12:58), 1.1.1 (2018-08-11 17:10), 1.1.2 (2019-02-06 12:50), 1.1.3 (2019-10-04 17:10), 1.1.4 (2020-01-17 10:40), 1.1.5 (2020-07-05 15:40), 1.1.6 (2020-07-13 18:10)
Other packages that cited roll R package
View roll citation profile
Other R packages that roll depends, imports, suggests or enhances
Complete documentation for roll
Functions, R codes and Examples using the roll R package
Some associated functions: roll-package . roll_all . roll_any . roll_cor . roll_cov . roll_idxmax . roll_idxmin . roll_lm . roll_max . roll_mean . roll_median . roll_min . roll_prod . roll_quantile . roll_scale . roll_sd . roll_sum . roll_var . 
Some associated R codes: RcppExports.R . roll.R .  Full roll package functions and examples
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