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.

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

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

```
install.packages("devtools")
```

- Load the devtools package:

```
library(devtools)
```

- 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 27, 2017, 12:02 a.m.

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