Survey sampling using permanent random numbers (PRN's). A solution
    to the problem of unknown overlap between survey samples, which leads to a
    low precision in estimates when the survey is repeated or combined with
    other surveys. The PRN solution is to supply the U(0, 1) random numbers to
    the sampling procedure, instead of having the sampling procedure generate
    them. In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited
    papers, it is shown how this is carried out and how it improves the
    estimates. This package supports two common fixed-size sampling procedures
    (simple random sampling and probability-proportional-to-size sampling) and
    includes a function for transforming the PRN's in order to control the
    sample overlap.

Optogenetics is a new tool to study neuronal circuits that have been genetically modified to allow stimulation by flashes of light.  This package implements the methodological framework, Point-process Response model for Optogenetics (PRO), for analyzing data from these experiments.  This method provides explicit nonlinear transformations to link the flash point-process with the spiking point-process.  Such response functions can be used to provide important and interpretable scientific insights into the properties of the biophysical process that governs neural spiking in response to optogenetic stimulation.

Automate the detection of gaps and elevations in mapped sequencing 
  read coverage using a 2D pattern-matching algorithm. 'ProActive' detects, characterizes 
  and visualizes read coverage patterns in both genomes and metagenomes. Optionally, 
  users may provide gene annotations associated with their genome or metagenome 
  in the form of a .gff file. In this case, 'ProActive' will generate an additional 
  output table containing the gene annotations found within the detected regions of gapped 
  and elevated read coverage. Additionally, users can search for gene 
  annotations of interest in the output read coverage plots.