Generate Feasible Samples of a Knapsack Problem
The sampl.mcmc() function creates samples of the feasible region of a knapsack problem with both equalities and inequalities constraints.

Given a set of points around a knee curve,
analyzes first and second derivatives to find knee points.

Whole-Genome Sequencing Data Analysis via Knockoff Statistics
Functions for identification of putative causal loci in whole-genome sequencing data. The functions allow genome-wide association scan. It also includes an efficient knockoff generator for genetic data.

R(>= 3.5.0), Matrix, seqminer, bigmemory

Trio Data Analysis with Knockoff Statistics for FDR Control
person(given = "Yi",
family = "Yang",
role = c("aut", "cre"),
email = "yy3136@cumc.columbia.edu",
comment = c(ORCID = "0000-0002-1471-4026"))
Identification of putative causal variants in genome-wide association studies with trio design.

person(given = "Yi",
family = "Yang",
role = c("aut", "cre"),
email = "yi.yang@cityu.edu.hk",
comment = c(ORCID = "0000-0002-1471-4026"))
Identification of putative causal variants in genome-wide association studies with the trio design. The package implements the methods in the paper: Yang, Y., Wang, C., Liu, L., Buxbaum, J., He, Z., & Ionita-Laza, I. (2022). KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design. The American Journal of Human Genetics, 109(10), 1761-1776.

c(person("Pavel Pimenov", role=c("aut", "cre"), email="pimenov@knoema.com"),
person("Ekaterina Chirkova", role="aut", email="chirkova@knoema.com"),
person("Knoema", role="cph"))
Using this package, users can access to the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series from thousands of sources collected in 'Knoema' repository and use rich R calculations in order to analyze the data. Because data in 'Knoema' is time series data, 'Knoema' function offers data in a number of formats usable in R such as 'ts', 'xts' or 'zoo'. For more information about 'Knoema' API go to <https://knoema.com/dev/docs>.
httr, jsonlite, base64enc, digest, lubridate, xts, zoo,
methods
Pavel Pimenov [aut, cre],
Ekaterina Chirkova [aut],
Knoema [cph]