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HKprocess  

Hurst-Kolmogorov Process
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HKprocess", "0.1-1")



Attach the package and use:
library("HKprocess")
Maintained by
Hristos Tyralis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-15
Latest Update: 2022-10-26
Description:
Methods to make inference about the Hurst-Kolmogorov (fractional Gaussian noise, fGn) and the AR(1) process. Related time series trend tests are also included.
How to cite:
Hristos Tyralis (2016). HKprocess: Hurst-Kolmogorov Process. R package version 0.1-1, https://cran.r-project.org/web/packages/HKprocess. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.0-2 (2016-01-15 00:41), 0.1-1 (2022-10-27 00:18)
Other packages that cited HKprocess R package
View HKprocess citation profile
Other R packages that HKprocess depends, imports, suggests or enhances
Complete documentation for HKprocess
Functions, R codes and Examples using the HKprocess R package
Some associated functions: MannKendallLTP . acfHKp . inferH . inferHmetrop . inferf . inferfmetrop . infermsfmetrop . infermsmetrop . lssd . lsv . ltza . ltzb . ltzc . ltzd . mleHK . mlear1 . 
Some associated R codes: MannKendallLTP.R . acfHKp.R . inferH.R . inferHmetrop.R . inferf.R . inferfmetrop.R . infermsfmetrop.R . infermsmetrop.R . lssd.R . lsv.R . ltza.R . ltzb.R . ltzc.R . ltzd.R . mleHK.R . mlear1.R .  Full HKprocess package functions and examples
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