Title: A Meta Analysis for Estimating the Hubble Constant via Time
Description: We provide a toolbox to conduct a meta analysis for estimating the current expansion rate of the Universe, called the Hubble constant H0, via time delay cosmography. The input data are (i) estimates of Fermat potential differences and their one-sigma uncertainties (standard errors), and (ii) estimates of time delays and their one-sigma uncertainties. Given these inputs, the meta analysis conducts a maximum likelihood estimation or a Bayesian inference to infer the Hubble constant.
Packaged: 2022-06-24 14:35:53 UTC; hyungsuktak

Author: Anqi Fu, Tom Kraljevic and Petr Maj, with contributions from the 0xdata team
Description: This is a package for running H2O via its REST API from within R.
Depends: R (>= 2.13.0), RCurl, rjson, statmod, tools, methods, utils
Collate: Wrapper.R Internal.R Classes.R ParseImport.R Algorithms.R

Author: Anqi Fu, Spencer Aiello, Ariel Rao, Tom Kraljevic and Petr Maj,
Description: Run H2O via its REST API from within R.
Depends: R (>= 2.13.0), RCurl, rjson, statmod, survival, stats, tools,
Collate: Wrapper.R Internal.R Classes.R ParseImport.R models.R

Author: Anqi Fu [aut], Spencer Aiello [aut], Ariel Rao [aut],
Amy Wang [aut], Tom Kraljevic [aut], and Petr Maj [ctb]
Description: R scripting functionality for H2O, the open source
math engine for big data that computes parallel distributed
machine learning algorithms such as generalized linear models,
gradient boosting machines, random forests, and neural networks
(deep learning) within various cluster environments.
Depends: R (>= 2.13.0), statmod, survival, stats, graphics, utils,

Author: Spencer Aiello, Tom Kraljevic and Petr Maj, with contributions from the
Depends: R (>= 2.13.0), methods, statmod, stats
Imports: graphics, RCurl, rjson, tools, utils

Imports: graphics, RCurl, jsonlite, tools, utils
Suggests: devtools, roxygen2, testthat, ggplot2, mlbench

Imports: graphics, tools, utils, RCurl, jsonlite
Suggests: ggplot2, mlbench, Matrix, data.table (>= 1.9.8)