dmcep

Time series of a double mode cepheid variable star obtained from OGLE.

datasets

Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).

Elorrieta Felipe

Irregularly Observed Autoregressive Models

Ojeda Cesar

Eyheramendy Susana

Palma Wilfredo

dmcep function

A data frame with 191 observations on the following 3 variables:<dl>
 <dt>t</dt>
<dd>heliocentric Julian Day</dd> <dt>m</dt>
<dd>magnitude</dd> <dt>merr</dt>
<dd>measurement error of the magnitude (in mag).</dd>
</dl>

Format

Double Mode Cepheid. — dmcep

A data frame with 191 observations on the following 3 variables:<dl>
 <dt>t</dt>
<dd>heliocentric Julian Day</dd>

 <dt>m</dt>
<dd>magnitude</dd>

 <dt>merr</dt>
<dd>measurement error of the magnitude (in mag).</dd>


</dl>

dmcep: Double Mode Cepheid.

Description

Usage

Arguments

Format

Details

Examples