CosmoPhotoz: Photometric redshift estimation using generalized linear models
Version 0.1

User-friendly interfaces to perform fast and reliable photometric redshift estimation. The code makes use of generalized linear models and can adopt gamma or inverse gaussian families, either from a frequentist or a Bayesian perspective. The code additionally provides a Shiny application providing a simple user interface.

AuthorRafael S. de Souza, Alberto Krone-Martins, Jonathan Elliott, Joseph Hilbe
Date of publication2014-08-24 07:22:40
MaintainerRafael S. de Souza <rafael.2706@gmail.com>
LicenseGPL (>= 3)
Version0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("CosmoPhotoz")

Getting started

Package overview
README.md

Popular man pages

computeCombPCA: Combined PCA for training and test sample
CosmoPhotoz-package: Photometric redshift estimation based on generalized linear...
glmPredictPhotoZ: Predict photometric redshifts using a given glm fit object
glmTrainPhotoZ: Fit a glm for photometric redshift estimation
PHAT0test: PHAT0 test dataset
PHAT0train: PHAT0 train dataset
plotDiagPhotoZ: Plot diagnostics for photometric redshift estimations
See all...

All man pages Function index File listing

Man pages

computeCombPCA: Combined PCA for training and test sample
computeDiagPhotoZ: Simple diagnostics for the photometric redshift results
CosmoPhotoZestimator: Photometric redshift estimation from a training dataset and a...
CosmoPhotoz-package: Photometric redshift estimation based on generalized linear...
glmPredictPhotoZ: Predict photometric redshifts using a given glm fit object
glmTrainPhotoZ: Fit a glm for photometric redshift estimation
PHAT0test: PHAT0 test dataset
PHAT0train: PHAT0 train dataset
plotDiagPhotoZ: Plot diagnostics for photometric redshift estimations

Functions

CosmoPhotoZestimator Man page Source code
CosmoPhotoz Man page
CosmoPhotoz-package Man page
PHAT0test Man page
PHAT0train Man page
computeCombPCA Man page Source code
computeDiagPhotoZ Man page Source code
glmPredictPhotoZ Man page Source code
glmTrainPhotoZ Man page Source code
plotDiagPhotoZ Man page Source code

Files

inst
inst/glmPhotoZ-2
inst/glmPhotoZ-2/ui.R
inst/glmPhotoZ-2/server.R
inst/glmPhotoZ-2/README
inst/glmPhotoZ-2/help.md
inst/tutorial
inst/tutorial/CosmoPhotoz_tutorial.pdf
inst/tutorial/CosmoPhotoz_tutorial.Rmd
NAMESPACE
data
data/PHAT0train.RData
data/PHAT0test.RData
data/datalist
R
R/CosmoPhotoz-package.R
R/CosmoPhotoZestimator.R
R/glmTrainPhotoz.R
R/glmPredictPhotoZ.R
R/computeDiagPhotoZ.R
R/plotDiagPhotoZ.R
R/computeCombPCA.R
README.md
MD5
DESCRIPTION
man
man/figures
man/figures/merged-Diag-Plots.pdf
man/figures/merged-Diag-Plots.jpg
man/figures/CosmoPhotoz-Shiny.jpg
man/figures/CosmoPhotoz-Shiny.pdf
man/glmPredictPhotoZ.Rd
man/PHAT0train.Rd
man/plotDiagPhotoZ.Rd
man/glmTrainPhotoZ.Rd
man/computeCombPCA.Rd
man/computeDiagPhotoZ.Rd
man/CosmoPhotoZestimator.Rd
man/PHAT0test.Rd
man/CosmoPhotoz-package.Rd
CosmoPhotoz documentation built on May 19, 2017, 1:49 p.m.

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