(VDUS) plot. For more details, see Seo and Pan (2015) <doi:10.32614/RJ-2015-029>.
Imports: cubature (>= 1.0), lattice (>= 0.20), methods

Title: Agricultural Land Use Evaluation System
person("Al-Ahmadgaid B.", "Asaad", , "alahmadgaid@gmail.com", role = c("aut", "cre"),
person("Arnold R.", "Salvacion", , "arsalvacion@gmail.com", role = "aut",
person("Bui", "Tan Yen", , "", role = "aut")
Maintainer: Al-Ahmadgaid B. Asaad <alahmadgaid@gmail.com>
Author: Al-Ahmadgaid B. Asaad [aut, cre]
Arnold R. Salvacion [aut] (<https://orcid.org/0000-0001-8868-2226>),
Description: Evaluates land suitability for different crops production.
The package is based on the Food and Agriculture Organization (FAO) and the
International Rice Research Institute (IRRI) methodology for land evaluation.
Development of ALUES is inspired by similar tool for land evaluation, Land Use
Suitability Evaluation Tool (LUSET). The package uses fuzzy logic approach to evaluate
land suitability of a particular area based on inputs such as rainfall, temperature,
topography, and soil properties. The membership functions used for fuzzy modeling are
the following: Triangular, Trapezoidal and Gaussian. The methods for computing the
overall suitability of a particular area are also included, and these are the Minimum,
Maximum and Average. Finally, ALUES is a highly optimized library with core algorithms
Suggests: testthat, markdown, knitr, microbenchmark, ggmap, raster,
Packaged: 2022-01-12 13:31:00 UTC; al-ahmadgaidasaad

Title: Adaptive Lasso for the Cox Regression with Interval Censored and
Author: Chenxi Li, Daewoo Pak and David Todem
Description: Penalized variable selection tools for the Cox
proportional hazards model with interval censored and possibly
left truncated data. It performs variable selection via
penalized nonparametric maximum likelihood estimation with an
adaptive lasso penalty. The optimal thresholding parameter can be
searched by the package based on the profile Bayesian information
criterion (BIC). The asymptotic validity of the methodology is
The unpenalized nonparametric maximum likelihood estimation for
interval censored and possibly left truncated data is also