Comparison of Means for the Incomplete Paired Data
c(
person("Desale", "Habtzghi", email = "dhabtzgh@depaul.edu", role = c("aut", "cre")),
person("Yilin", "Zhang", email = "yz112529@gmail.com", role="aut"),
person("Richard","Einsporn",role="ctb"))
Implements a variety of nonparametric and parametric methods that are commonly used when the data set is a mixture of paired observations and independent samples. The package also calculates and returns values of different tests with their corresponding p-values.
Bhoj, D. S. (1991) <doi:10.1002/bimj.4710330108> "Testing equality of means in the presence of correlation and missing data".
Dubnicka, S. R., Blair, R. C., and Hettmansperger, T. P. (2002) <doi:10.22237/jmasm/1020254460> "Rank-based procedures for mixed paired and two-sample designs".
Einsporn, R. L. and Habtzghi, D. (2013) <https://pdfs.semanticscholar.org/89a3/90bafeb2bc41ed4414533cfd5ab84a6b54b6.pdf> "Combining paired and two-sample data using a permutation test".
Ekbohm, G. (1976) <doi:10.1093/biomet/63.2.299> "On comparing means in the paired case with incomplete data on both responses".
Lin, P. E. and Stivers, L. E. (1974) <doi:10.1093/biomet/61.2.325> On difference of means with incomplete data".
Maritz, J. S. (1995) <doi:10.1111/j.1467-842x.1995.tb00649.x> "A permutation paired test allowing for missing values".
Desale Habtzghi [aut, cre],
Yilin Zhang [aut],
Richard Einsporn [ctb]

Dose Response Curves from Incucyte Proliferation Assays
Package to import data generated by the Incucyte Zoom from Essen Biosciences and use this to fit dose response curves using the drc package.
cowplot, dplyr, drc, DT, ggplot2, magrittr, shiny, tidyr, XML

Tests of Independence Between Point Processes in Time
Several parametric and non-parametric tests  and measures to check independence between two or more (homogeneous or nonhomogeneous) point processes  in time are provided. Tools for simulating point processes in one dimension with different types of dependence are also implemented.