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tbrf  

Time-Based Rolling Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tbrf", "0.1.6")



Attach the package and use:
library("tbrf")
Maintained by
Michael Schramm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-03
Latest Update: 2020-04-09
Description:
Provides rolling statistical functions based on date and time windows instead of n-lagged observations.
How to cite:
Michael Schramm (2018). tbrf: Time-Based Rolling Functions. R package version 0.1.6, https://cran.r-project.org/web/packages/tbrf. Accessed 06 May. 2025.
Previous versions and publish date:
0.1.0 (2018-09-03 15:30), 0.1.1 (2019-01-07 21:50), 0.1.2 (2019-02-02 06:50), 0.1.3 (2019-11-15 22:30), 0.1.4 (2020-03-25 07:50), 0.1.5 (2020-04-09 06:40)
Other packages that cited tbrf R package
View tbrf citation profile
Other R packages that tbrf depends, imports, suggests or enhances
Complete documentation for tbrf
Functions, R codes and Examples using the tbrf R package
Some associated functions: Dissolved_Oxygen . binom_ci . gm_mean . gm_mean_ci . list_NA . mean_ci . median_ci . open_window . tbr_binom . tbr_binom_window . tbr_gmean . tbr_gmean_window . tbr_mean . tbr_mean_window . tbr_median . tbr_median_window . tbr_misc . tbr_sd . tbr_sd_window . tbr_sum . tbr_sum_window . 
Some associated R codes: data.R . tbr_binom.R . tbr_gmean.R . tbr_mean.R . tbr_median.R . tbr_misc.R . tbr_sd.R . tbr_sum.R . utils.R .  Full tbrf package functions and examples
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