Suggests: knitr (>= 1.9), testthat (>= 0.9.1)

Title: Mathematical Modelling of (Dynamic) Microbial Inactivation
Description: Functions for modelling microbial inactivation under
isothermal or dynamic conditions. The calculations are based on several mathematical models broadly
used by the scientific community and industry. Functions enable to make predictions for cases where the
kinetic parameters are known. It also implements functions for parameter estimation for isothermal and
dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian

Title: Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data
Description: The bi-objective k-nearest neighbors method (biokNN) is an imputation method designed to estimate missing values on data with a multilevel structure. The original algorithm is an extension of the k-nearest neighbors method proposed by Bertsimas et al. (2017) (<https://jmlr.org/papers/v18/17-073.html>) using a bi-objective approach.  A brief description of the method can be found in Cubillos (2021) (<https://pure.au.dk/portal/files/214627979/biokNN.pdf>). The 'biokNN' package provides an R implementation of the method for datasets with continuous variables (e.g. employee productivity, student grades) and a categorical class variable (e.g. department, school). Given an incomplete dataset with such structure, this package produces complete datasets using both single and multiple imputation, including visualization tools to better understand the pattern of the missing values.
Imports: dplyr, cluster, mice, stats, magrittr, ggplot2, tidyr, desc,

Title: Create Hyperlinks to Biological Databases and Resources
Description: Generate urls and hyperlinks to commonly used biological databases
and resources based on standard identifiers. This is primarily useful when
writing dynamic reports that reference things like gene symbols in text or
tables, allowing you to, for example, convert gene identifiers to hyperlinks
pointing to their entry in the NCBI Gene database. Currently supports NCBI
Gene, PubMed, Gene Ontology, CRAN and Bioconductor.
Authors@R: person("Aaron", "Wolen", , "aaron@wolen.com", role = c("aut", "cre"))