Components of Canadian Monetary and Credit Aggregates
Components of Canadian Credit Aggregates and Monetary Aggregates with continuity adjustments.

Components of Canadian Credit Aggregates and Monetary
Aggregates with continuity adjustments.

Phylogenetically Classifies Retention Mechanisms of Duplicate
Genes from Gene Expression Data
Brent Perry <brp5173@psu.edu>, Raquel Assis <rassis@psu.edu>
Classification is based on the recently developed phylogenetic
approach by Assis and Bachtrog (2013). The method classifies the
evolutionary mechanisms retaining pairs of duplicate genes (conservation,
neofunctionalization, subfunctionalization, or specialization) by comparing gene
expression profiles of duplicate genes in one species to those of their single-
copy ancestral genes in a sister species.

A Complete Deconvolution Method using Sequencing Data
c(person("Kai", "Kang", email = "kangkai0714@gmail.com", role = c("aut", "cre","cph")),
person("Caizhi", "Huang", email = "chuang19@ncsu.edu", role = "aut"),
person("Qian","Meng", role="ctb"),
person("Igor","Shats", role="ctb"),
person("Melissa","Li", role="ctb"),
person("David","Umbach",role="ctb"),
person("Leping","Li", role=c("aut","cph")),
person("Yuanyuan","Li", role="ctb"),
person("Xiaoling","Li", role="ctb"))
Estimate cell-type-specific gene expression profiles and sample-specific cell-type proportions simultaneously using bulk sequencing data. Kang et al. (2019) <doi:10.1371/journal.pcbi.1007510>.
Rcpp (>= 1.0.3), MASS, foreach, doParallel, dirmult,
RcppThread, iterators, parallel, qlcMatrix, gplots, grDevices,
clue, Biobase, Seurat, ggplot2, magrittr, dplyr, rlang, Matrix,
matrixStats, ggpubr
Kai Kang [aut, cre, cph],
Caizhi Huang [aut],
Qian Meng [ctb],
Igor Shats [ctb],
Melissa Li [ctb],
David Umbach [ctb],
Leping Li [aut, cph],
Yuanyuan Li [ctb],
Xiaoling Li [ctb]

Statistical inference of C- and D-vine copulas
Ulf Schepsmeier, Eike Christian Brechmann
Ulf Schepsmeier, Eike Christian Brechmann
<CDVine@ma.tum.de>
This package provides functions for statistical inference
of canonical vine (C-vine) and D-vine copulas. It contains
tools for bivariate exploratory data analysis and for bivariate
as well as vine copula selection. Models can be estimated
either sequentially or by joint maximum likelihood estimation.
Sampling algorithms and plotting methods are also included.
Data is assumed to lie in the unit hypercube (so-called copula
data).