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timedelay  

Time Delay Estimation for Stochastic Time Series of Gravitationally Lensed Quasars
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("timedelay", "1.0.11")



Attach the package and use:
library("timedelay")
Maintained by
Hyungsuk Tak
[Scholar Profile | Author Map]
First Published: 2015-07-20
Latest Update: 2020-05-19
Description:
We provide a toolbox to estimate the time delay between the brightness time series of gravitationally lensed quasar images via Bayesian and profile likelihood approaches. The model is based on a state-space representation forirregularly observed time series data generated from a latent continuous-time Ornstein-Uhlenbeck process. Our Bayesian method adopts scientifically motivated hyper-prior distributions and a Metropolis-Hastings within Gibbs sampler, producing posterior samples of the model parameters that include the time delay. A profile likelihood of the time delay is a simple approximation to the marginal posterior distribution of the time delay. Both Bayesian and profile likelihood approaches complement each other, producing almost identical results; the Bayesian way is more principled but the profile likelihood is easier to implement. A new functionality is added in version 1.0.9 for estimating the time delay between doubly-lensed light curves observed in two bands. See also Tak et al. (2017) <doi:10.1214/17-AOAS1027>, Tak et al. (2018) <doi:10.1080/10618600.2017.1415911>, Hu and Tak (2020) <doi:10.48550/arXiv.2005.08049>.
How to cite:
Hyungsuk Tak (2015). timedelay: Time Delay Estimation for Stochastic Time Series of Gravitationally Lensed Quasars. R package version 1.0.11, https://cran.r-project.org/web/packages/timedelay. Accessed 08 Apr. 2025.
Previous versions and publish date:
1.0.0 (2015-07-20 11:18), 1.0.1 (2016-01-05 14:19), 1.0.2 (2016-02-11 16:57), 1.0.3 (2016-11-04 22:22), 1.0.4 (2016-11-30 02:12), 1.0.5 (2016-12-13 07:57), 1.0.6 (2017-03-23 07:18), 1.0.7 (2017-05-27 23:23), 1.0.8 (2018-05-16 18:50), 1.0.9 (2020-05-03 18:40), 1.0.10 (2020-05-05 16:00)
Other packages that cited timedelay R package
View timedelay citation profile
Other R packages that timedelay depends, imports, suggests or enhances
Complete documentation for timedelay
Functions, R codes and Examples using the timedelay R package
Some associated functions: bayesian.multiband . bayesian . entirelogprofilelikelihood . simple.band1 . simple.band2 . simple . timedelay-internal . timedelay-package . 
Some associated R codes: bayesian.R . bayesian.multiband.R . entirelogprofilelikelihood.R .  Full timedelay package functions and examples
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