Title: Estimation, Gene Selection, and Survival Prediction Based on the
Compound Covariate Method Under the Cox Proportional Hazard
Description: Estimation, gene selection, and survival prediction based on the compound covariate method under the Cox model with high-dimensional gene expressions.
Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>,
statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627> and
Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>. Algorithms for generating correlated gene expressions are also available.

Title: Univariate Feature Selection and Compound Covariate for
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (gene expressions).
statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>,
Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2018-)<submitted>.
Algorithms for generating correlated gene expressions are also available.

Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions).

Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2018-)<to appear>.

Compound Covariate Method Under the Cox Model

Authors@R: person("Gregory", "Demin", email = "gdemin@gmail.com",
Description: Provides 'Python'-style list comprehensions.
List comprehension expressions use usual loops (for(), while() and repeat()) and
usual if() as list producers. In many cases it gives more concise notation than

person("Christopher", "Prener", ,"chris.prener@slu.edu", c("aut", "cre")),
person("Taylor", "Braswell", , , c("com"))
Description: Provides a set of tools for creating yearly data sets of St. Louis
Metropolitan Police Department (SLMPD) crime data, which are available from
January 2008 onward as monthly CSV releases on their website
(<http:www.slmpd.org/Crimereports.shtml>). Once data are validated and created
(monthly data releases have varying numbers of columns
as well as different column names and formats), 'compstatr' also provides
functions for categorizing and mapping crimes in St. Louis. The categorization
tools that are provided will also work with any police department that uses 5
and 6 digit numeric codes to identify specific crimes. These data provide researchers
and policy makers detailed data for St. Louis, which in the last several years
has had some of the highest or the highest violent crime rates in the United States.
Imports: dplyr, fs, lubridate, purrr, rlang, readr, sf, stringr,