Description: Enables users to handle the dataset cleaning for conducting
specific analyses with the log files from two international educational
assessments: the Programme for International Student Assessment (PISA,
<https://www.oecd.org/pisa/>) and the Programme for the International
Assessment of Adult Competencies (PIAAC,
<https://www.oecd.org/skills/piaac/>). An illustration of the analyses can be
found on the LOGAN Shiny app (<https://loganpackage.shinyapps.io/shiny/>) on
email = "denise.reis@gmail.com", role = c("aut")),
email = "w.l.netto@medisin.uio.no", role = c("aut", "cre"))
dplyr, ggplot2, rlang, stringr, magrittr, modules, methods

Title: Tree-Based Models for the Analysis of Log Files from
Authors@R: c(person("Denise", "Reis Costa", role = c("aut", "ths"), email = "d.r.costa@cemo.uio.no"),
person("Qi", "Qin", role = c("aut", "cre"), email = "qiq@student.uv.uio.no"))
Description: Enables researchers to model log-file data from computer-based assessments using machine-learning techniques. It allows researchers to generate new knowledge by comparing the performance of three tree-based classification models (i.e., decision trees, random forest, and gradient boosting) to predict student's outcome. It also contains a set of handful functions for the analysis of the features' influence on the modeling. Data from the Climate control item from the 2012 Programme for International Student Assessment (PISA, <https://www.oecd.org/pisa/>) is available for an illustration of the package's capability. He, Q., & von Davier, M. (2015) <doi:10.1007/978-3-319-19977-1_13> Boehmke, B., & Greenwell, B. M. (2019) <doi:10.1201/9780367816377> .
Imports: ROCR, caret, caretEnsemble, dplyr, ggplot2, rpart.plot,

Authors@R: c(person("Denise", "Reis Costa", role = c("aut", "ths"), email = "denise.reis@gmail.com"), person("Qi", "Qin", role = c("aut", "cre"), email = "logantreeqq@gmail.com"))

Title: LOGICOIL: multi-state prediction of coiled-coil oligomeric
Author: Thomas L. Vincent <tlfvincent@gmail.com>, Peter J. Green and Derek N. Woolfson <D.N.Woolfson@bristol.ac.uk>
Maintainer: Thomas L. Vincent <tlfvincent@gmail.com>
Description: This package contains the functions necessary to run the LOGICOIL algorithm. LOGICOIL can be used to differentiate between antiparallel dimers, parallel dimers, trimers and higher-order coiled-coil sequence. By covering >90 percent of the known coiled-coil structures, LOGICOIL is a net improvement compared with other existing methods, which achieve a predictive coverage of around 31 percent of this population. As such, LOGICOIL is particularly useful for researchers looking to characterize novel coiled-coil sequences or studying coiled-coil containing protein assemblies. It may also be used to assist in the structural characterization of synthetic coiled-coil sequences.
Packaged: 2014-04-13 21:36:51 UTC; ThomasVincent