Title: ELISA Data Analysis with Batch Correction
Authors@R: person("Feng", "Feng", email = "ffeng@BU.edu", role = c("aut", "cre"))
Description: To run data analysis for enzyme-link immunosorbent assays (ELISAs).
Either the five- or four-parameter logistic model will be fitted for data of single ELISA.
Moreover, the batch effect correction/normalization will be carried out, when there are more than one batches of ELISAs.

Authors@R: person("Alessio", "Petrozziello", email = "alessio.petrozziello@port.ac.uk", role = c("aut", "cre"))
Description: Training and prediction functions are provided for the Extreme Learning Machine algorithm (ELM). The ELM use a Single Hidden Layer Feedforward Neural Network (SLFN) with random generated weights and no gradient-based backpropagation. The training time is very short and the online version allows to update the model using small chunk of the training set at each iteration. The only parameter to tune is the hidden layer size and the learning function.

Title: Implementation of the Efficient Large-Scale Online Display
Authors@R: c(person("Courtney", "Paulson", email = "cpaulson@rhsmith.umd.edu", role = c("aut", "cre")),person("Lan", "Luo", role="ctb"),person("Gareth","James",role="ctb"))
Description: An implementation of the algorithm described in "Efficient Large-
Scale Internet Media Selection Optimization for Online Display Advertising"
by Paulson, Luo, and James (Journal of Marketing Research 2018; see URL below
for journal text/citation and <http://www-bcf.usc.edu/~gareth/research/ELMSO.pdf>
for a full-text version of the paper). The algorithm here is designed to
allocate budget across a set of online advertising opportunities using a
coordinate-descent approach, but it can be used in any resource-allocation
problem with a matrix of visitation (in the case of the paper, website page-
views) and channels (in the paper, websites). The package contains allocation
functions both in the presence of bidding, when allocation is dependent on
channel-specific cost curves, and when advertising costs are fixed at each channel.