Description: An R Interface to EPP-lab v1.0. EPP-lab is a Java program for projection pursuit using genetic algorithms written by Alain Berro and S. Larabi Marie-Sainte.

Title: 'REPPlab' via a Shiny Application
Description: Performs exploratory projection pursuit  via 'REPPlab' (Daniel Fischer, Alain Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019) <doi:10.1080/03610918.2019.1626880>) using a Shiny app.
Packaged: 2020-09-30 09:02:07 UTC; Klaus Nordhausen
Klaus Nordhausen [cre, ctb] (<https://orcid.org/0000-0002-3758-8501>),

Packaged: 2020-11-03 12:58:48 UTC; knordhause

Title: Regulatory DNA Element Prediction
Description: Predicting regulatory DNA elements based on epigenomic signatures. This package is more of a set of building blocks than a direct solution. REPTILE regulatory prediction pipeline is built on this R package. See <https://github.com/yupenghe/REPTILE> for more information.
Imports: optparse (>= 1.3.2), randomForest (>= 4.6-12), flux(>= 0.3-0)

Description: This package contains the function run.eqs() which calls an EQS script file, executes the EQS estimation, and, finally, imports the results as R objects. These two steps can be performed separately: call.eqs() calls and executes EQS, whereas read.eqs() imports existing EQS outputs as objects into R.
Packaged: Mon Oct 20 15:44:38 2008; admin

Packaged: Sun Nov  2 15:40:19 2008; admin

Description: This package contains the function run.eqs() which calls
an EQS script file, executes the EQS estimation, and, finally,
imports the results as R objects. These two steps can be
performed separately: call.eqs() calls and executes EQS,
whereas read.eqs() imports existing EQS outputs as objects into

R. It requires EQS 6.2 (build 98 or higher).

Authors@R: c(person("Patrick", "Mair", role = c("aut", "cre"), email = "mair@fas.harvard.edu"), person("Eric", "Wu", role = "aut"))
Description: Contains the function run.eqs() which calls an EQS script file, executes the EQS estimation, and, finally, imports the results as R objects. These two steps can be performed separately: call.eqs() calls and executes EQS, whereas read.eqs() imports existing EQS outputs as objects into R. It requires EQS 6.2 (build 98 or higher).