Description: Simulate a renewal Hawkes (RHawkes) self-exciting process,
with a given immigrant hazard rate function and offspring density function.
Calculate the likelihood of a RHawkes process with given hazard rate function
and offspring density function for an (increasing) sequence of event times.
Calculate the Rosenblatt residuals of the event times. Predict
future event times based on observed event times up to a given time.

Description: The renewal Hawkes (RHawkes) process (Wheatley,
an extension to the classical Hawkes self-exciting point process
widely used in the modelling of clustered event sequence data.
This package provides functions to simulate the RHawkes process
with a given immigrant hazard rate function and offspring birth
time density function, to compute the exact likelihood of a
RHawkes process using the recursive algorithm proposed by Chen and
Rosenblatt residuals for goodness-of-fit assessment, and to
predict future event times based on observed event times up to a
given time. A function implementing the linear time RHawkes
process likelihood approximation algorithm proposed in Stindl and
Author: Feng Chen [aut, cre] (<https://orcid.org/0000-0002-9646-3338>),

Authors@R: c(person("Joseph","Handwerker", role = c("aut", "cre"),
Description: Non-parametric clustering of joint pattern multi-genetic/epigenetic factors. The goal of this package is to cluster subjects based on gene features including single nucleotide polymorphisms (SNPs), DNA methylation (CPG), and gene expression (GE). The novel concept follows the general K-means (Hartigan and Wong (1979) <doi:10.2307/2346830> framework but uses weighted Euclidean distances across the gene features to cluster subjects. This approach is unique in that it attempts to capture all pairwise interactions in an effort to cluster based on their complex biological interactions.

Description: RHive is an R extension facilitating
SystemRequirements: Hadoop core >= 0.20.3

Description: RHive is an R extension facilitating distributed computing
via HIVE query.  It provides an easy to use HQL like SQL and R