# avar 0.1.2

Corrected a minor bug in the examples in order to stay on CRAN

# avar 0.1.1

## Features

This package provides the tools necessary to compute the empirical
Allan Variance (AV) and use it to estimate the parameters of (latent)
time series models. The estimation of the AV is performed through the
estimator proposed by Allan (1966) and, based on this quantity, the
Allan Variance Linear Regression (AVLR) approach is often used by
engineers to retrieve the parameters of time series models which are
assumed to underlie the observed signals (see for example Guerrier,
Molinari, and Stebler 2016). These estimators are implemented in this
package along with the relevant plotting and summary functions.

Compared to the 0.1.0 version, we add the application of Allan
variance on IMU data. Specifically, we add the following new features: -
New function avar.imu() which allows the computation of Allan variance
based on IMU data; - New function plot.imu_avar() which allows to plot
the Allan variance computed based on IMU data; - New function
avlr.imu_avar() which allows to compute the Allan Variance Linear
Regression estimator based on IMU data; - A few datasets of Allan
variance based on real IMU data as examples to test the new
functions.