Multivariate genome-wide association analyses. The analysis can be
performed on individual-level data or multiple single-trait genome-wide summary
statistics.

Multicountry Term Structure of Interest Rates Models
Estimation routines for several classes of affine term structure of interest rates models. All the models are based on the single-country unspanned macroeconomic risk framework from Joslin, Priebisch, and Singleton (2014) <doi:10.1111/jofi.12131>. Multicountry extensions such as the ones of Jotikasthira, Le, and Lundblad (2015) <doi:10.1016/j.jfineco.2014.09.004> and Candelon and Moura (2021) <http://hdl.handle.net/2078.1/249985> are also available.
readxl, readr, magic, Jmisc, functional, cowplot, powerplus,
reshape2, sjmisc, stringr, knitr, rmarkdown, bookdown,
kableExtra, neldermead, magrittr

Estimation routines for several classes of affine term structure of interest rates models. All the models are based on the single-country unspanned macroeconomic risk framework from Joslin, Priebsch, and Singleton (2014) <doi:10.1111/jofi.12131>. Multicountry extensions such as the ones of Jotikasthira, Le, and Lundblad (2015) <doi:10.1016/j.jfineco.2014.09.004> and Candelon and Moura (2021) <http://hdl.handle.net/2078.1/249985> are also available.

Lam S.T. Ho [aut, cre],
Marc A. Suchard [aut],
Forrest W. Crawford [aut],
Jason Xu [ctb],
Vladimir N. Minin [ctb]
Computationally efficient functions to provide direct likelihood-based
inference for partially-observed multivariate birth-death processes.  Such processes
range from a simple Yule model to the complex susceptible-infectious-removed model
in disease dynamics.  Efficient likelihood evaluation facilitates maximum likelihood
estimation and Bayesian inference.
testthat, knitr, rmarkdown, MCMCpack, ggplot2, matrixStats,
plotrix

Multiple Copy Number Variation Detection
This package provides a tool for analysis of multiple CNV.

Linear regression mixture model to ChIP-chip data
analysis, taking into account the dependence (HMM), and for
multiple biological samples.