README.md

In JeremySilver/RandomThinning: Random Thinning Tests and Auxiliary Functions

RandomThinning

This is an R package that provides Monte Carlo tests for periodic components of known length in time-series. It is particularly useful in testing for the presence of short signals in noisy data. The R package provides functions that perform the test, estimate relevant statistical properties of a given time-series and that estimate the power of the test (based on properties of a given time-series).

It uses some c++ code (via the Rcpp interface) for some of the more CPU-intensive parts of the calculations.

Installation

Following Karl Broman's instructions, you can install this package with the following steps:

1. Install the devtools package - you can skip this step if the package is already installed. In the R console, run:

install.packages("devtools")

1. Load the devtools package:

library(devtools)

1. Install following the syntax install_github("author/package"):

install_github("JeremySilver/RandomThinning")

If this doesn't work for you, then there is longer list of instructions to install R packages from github, which may be worth trying.

JeremySilver/RandomThinning documentation built on May 30, 2019, 9:40 p.m.