Statistical hypothesis testing of pattern heterogeneity
via differences in underlying distributions across multiple
contingency tables. Five tests are included: the comparative
chi-squared test (Song et al. 2014) <doi:10.1093/nar/gku086>
(Zhang et al. 2015) <doi:10.1093/nar/gkv358>, the Sharma-Song
test (Sharma et al. 2021) <doi:10.1093/bioinformatics/btab240>,
the heterogeneity test, the marginal-change test (Sharma et al.
2020) <doi:10.1145/3388440.3412485>, and the strength test
(Sharma et al. 2020) <doi:10.1145/3388440.3412485>. Under the
null hypothesis that row and column variables are statistically
independent and joint distributions are equal, their test
statistics all follow an asymptotically chi-squared distribution.
A comprehensive type analysis categorizes the relation among the
contingency tables into type null, 0, 1, and 2 (Sharma et al.
2020) <doi:10.1145/3388440.3412485>. They can identify
heterogeneous patterns that differ in either the first order
(marginal) or the second order (differential departure from
independence). Second-order differences reveal more
fundamental changes than first-order differences across
heterogeneous patterns.

Inference and Analysis for Generalized Quadratic Diffusions
Tools for performing inference and analysis on a class of quadratic diffusion processes for both scalar and bivariate diffusion systems. For scalar diffusions, a module is provided for solving first passage time problems for both time-homogeneous and time-inhomogeneous GQDs.
c(person("Etienne A.D.", "Pienaar", email = "etiennead@gmail.com",role = c("aut", "cre")),
person("Melvin M.", "Varughese", email = "melvin.varughese@uct.ac.za",role = c("ctb")))
Please send questions and comments to etiennead@gmail.com.
Etienne A.D. Pienaar [aut, cre],
Melvin M. Varughese [ctb]

Inference and Analysis for Diffusion Processes via Data
Imputation and Method of Lines
Tools for performing inference and analysis using a data-imputation scheme and the method of lines.
DiffusionRgqd, DiffusionRjgqd, knitr, coda, Quandl, R.rsp