Marc Agenis <marc.agenis@gmail.com> and Neeraj Bokde <neerajdhanraj@gmail.com>
Make an empirical guess on the time and memory complexities of an algorithm or a function.
Tests multiple, increasing size random samples of your data and tries to fit various complexity functions o(n), o(n2), o(log(n)), etc.
Based on best fit, it predicts the full computation time on your whole dataset. Results are plotted with 'ggplot2'.
dplyr, reshape2, ggplot2, lubridate, boot

Run GWAS/GWEIS Scans Using Binary Dosage Files
c(person(given = "John",
family = "Morrison",
role = c("aut", "cre"),
email = "jmorr@usc.edu"),
person(given = "NCI",
role = "fnd",
comment = "CA196559"),
person(given = "NCI",
role = "fnd",
comment = "CA201407"),
person(given = "NIEHS",
role = "fnd",
comment = "ES007048"),
person(given = "NHLBI",
role = "fnd",
comment = "HL115606"))
Tools to run genome-wide association study (GWAS) and
genome-wide by environment interaction study (GWEIS) scans using the genetic
data stored in a binary dosage file. The user provides a data frame with
the subject's covariate data and the information about the binary dosage
file returned by the BinaryDosage::getbdinfo() routine.
BinaryDosage, testthat (>= 2.1.0), covr, knitr, rmarkdown
John Morrison [aut, cre],
NCI [fnd] (CA196559),
NCI [fnd] (CA201407),
NIEHS [fnd] (ES007048),
NHLBI [fnd] (HL115606)

Maximum Likelihood Estimation for Gene-by-Measured Environment
Interaction Models
Quantifying and testing gene-by-measured-environment interaction in behavior genetic designs.

person("Zizhong", "Tian",
role = c("aut", "cre"),
email = "zizhong.tian@yale.edu")
Implements the sample size methods for hierarchical 2x2 factorial trials under a series of hypothesis tests proposed in "Sample Size Calculation in Hierarchical 2x2 Factorial Trials with Unequal Cluster Sizes" (under review), as well as the table and plot generators for the sample size estimations.

Sample Size Calculation in Hierarchical 2x2 Factorial Trials
c(person("Zizhong","Tian", role = c("aut", "cre"),
email = "zizhong.tian@yale.edu"),
person("Denise", "Esserman", role = "aut",
email = "denise.esserman@yale.edu"),
person("Guangyu", "Tong", role = "aut",
email = "guangyu.tong@yale.edu"),
person("Fan", "Li", role = "aut",
email = "fan.f.li@yale.edu"))
Implements the sample size methods for hierarchical 2x2 factorial trials under a series of hypothesis tests proposed in "Sample size calculation in hierarchical 2x2 factorial trials with unequal cluster sizes" (under review), and provides the table and plot generators for the sample size estimations.
Zizhong Tian [aut, cre],
Denise Esserman [aut],
Guangyu Tong [aut],
Fan Li [aut]