Allows users to import data files containing heartbeat	positions in the most broadly used formats, to remove outliers or points with unacceptable physiological values present in the time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear HRV analysis.

Allows users to import data files containing heartbeat	positions in the most broadly used formats, to remove outliers or points with unacceptable physiological values present in the time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear HRV analysis. See Garcia et al. (2017) <DOI:10.1007/978-3-319-65355-6>.

Ryan-Holm Step-Down Bonferroni or Sidak Procedure
c(person("Zhicheng Du", "Developer", role = c("aut", "cre", "cph"), email = "dgdzc@hotmail.com"),
person("Hailin Feng", "Developer", role = "aut"))
The Ryan-Holm step-down Bonferroni or Sidak procedure is to control the family-wise (experiment-wise) type I error rate in the multiple comparisons.
This procedure provides the adjusting p-values and adjusting CIs. The methods used in this package are referenced from John Ludbrook (2000) <doi:10.1046/j.1440-1681.2000.03223.x>.
Zhicheng Du Developer [aut, cre, cph],
Hailin Feng Developer [aut]

Regularized Hotelling's T-square Test for Pathway (Gene Set)
Analysis
This package offers functions to perform regularized
Hotelling's T-square test for pathway or gene set analysis. The
package is tailored for but not limited to proteomics data, in
which sample sizes are often small, a large proportion of the
data are missing and/or correlations may be present.

Feng Chen <feng.chen@unsw.edu.au>
Thomas Stindl <t.stindl@unsw.edu.au>
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.
For details see Chen and Stindl (2017) <doi:10.1080/10618600.2017.1341324>.