Title: An Interface Between the 'FSKX' Standard and 'R'

Authors@R: c(person("Ambarish", "Chattopadhyay", email = "ambarish_chattopadhyay@g.harvard.edu", role = c("aut", "cre")),
person("Carl", "Morris", role = "aut"), person("Jose", "Zubizarreta", role = "aut"))
Description: Randomized and balanced allocation of units to treatment groups using the Finite Selection Model (FSM). The FSM was originally proposed and developed at the RAND corporation by Carl Morris to enhance the experimental design for the now famous Health Insurance Experiment. See Morris (1979) <doi:10.1016/0304-4076(79)90053-8> for details on the original version of the FSM.
Author: Ambarish Chattopadhyay [aut, cre],

Title: Imputation of Time Series Based on Fuzzy Logic
Author: Thi-Thu-Hong Phan, Andre Bigand, Emilie Poisson-Caillault
Maintainer: Thi Thu Hong Phan <ptthong@vnua.edu.vn>
Description: Filling large gaps in low or uncorrelated multivariate time series uses a new fuzzy weighted similarity measure. It contains all required functions to create large missing consecutive values within time series and then fill these gaps, according to the paper Phan et al. (2018), <DOI:10.1155/2018/9095683>. Performance indicators are also provided to compare similarity between two univariate signals (incomplete signal and imputed signal).

Title: Generate Fully-Sequential Space-Filling Designs Inside a Unit
Author: Boyang Shang and Daniel W. Apley
Copyright: ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHTS for details.
Description: Provides three methods proposed by Shang and Apley (2019) <doi:10.1080/00224065.2019.1705207> to generate fully-sequential space-filling designs inside a unit hypercube. A 'fully-sequential space-filling design' means a sequence of nested designs (as the design size varies from one point up to some maximum number of points) with the design points added one at a time and such that the design at each size has good space-filling properties. Two methods target the minimum pairwise distance criterion and generate maximin designs, among which one method is more efficient when design size is large. One method targets the maximum hole size criterion and uses a heuristic to generate what is closer to a minimax design.
Packaged: 2020-01-30 09:02:36 UTC; boyangshang