Other packages > Find by keyword >

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]
All associated links for this package
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 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:13), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
separationplot  
Separation Plots
Visual representations of model fit or predictive success in the form of "separation plots." See Gr ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
baffle  
Make Waffle Plots with Base Graphics
Waffle plots are rectangular pie charts that represent a quantity or abundances using colored squar ...
Download / Learn more Package Citations See dependency  
githubinstall  
A Helpful Way to Install R Packages Hosted on GitHub
Provides an helpful way to install packages hosted on GitHub. ...
Download / Learn more Package Citations See dependency  
TRMF  
Temporally Regularized Matrix Factorization
Functions to estimate temporally regularized matrix factorizations (TRMF) for forecasting and imputi ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA