Title: LP Nonparametric High Dimensional K-Sample Comparison
Description: LP nonparametric high-dimensional K-sample comparison method that includes
(i) confirmatory test, (ii) exploratory analysis, and (iii) options to output a data-driven
The primary reference is Mukhopadhyay, S. and Wang, K. (2018, Technical Report).
Packaged: 2018-09-20 01:13:56 UTC; AquinasUnit

(i) confirmatory test, (ii) exploratory analysis, and (iii) options to output a
data-driven LP-transformed matrix for classification. The primary reference is
Mukhopadhyay, S. and Wang, K. (2020, Biometrika); <arXiv:1810.01724>.
Depends: R (>= 2.10), apcluster, igraph, mclust, LPGraph
Packaged: 2020-06-01 17:24:18 UTC; AquinasUnit

Title: Linear Parametric Models Applied to Hydrological Series
Authors@R: c(person("Corrado", "Tallerini", role = c("aut", "cre"),
person("Salvatore", "Grimaldi", role = "aut",
Description: Apply Univariate Long Memory Models,
Multivariate Short Memory Models To Hydrological Dataset.
Imports: stats, graphics, grDevices, fracdiff, MASS

Imports: stats, graphics, grDevices, fracdiff, MASS, QRM

Apply Multivariate Short Memory Models To Hydrological Dataset,
Estimate Intensity Duration Frequency curve to rainfall series.
Imports: stats, graphics, grDevices, QRM, fracdiff, MASS

Imports: stats, graphics, grDevices, fracdiff, powdist, MASS

Author: Hanzhong Liu, Xin Xu, Jingyi Jessica Li, Bin Yu*
Description: Contains a function called "LPR" to estimate coefficients using Lasso and Partial Ridge method and to calculate confidence intervals through bootstrap.

Title: Relevance-Integrated Statistical Inference Engine
Description: A framework of methods to perform customized inference at individual level
by taking contextual covariates into account. Three main functions are provided
in this package: (i) LASER(): it generates specially-designed artificial relevant
samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii)
rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be
found in Mukhopadhyay, S., and Wang, K (2019, Technical Report).
Packaged: 2019-08-04 03:44:15 UTC; AquinasUnit