spgs: Statistical Patterns in Genomic Sequences
A collection of statistical hypothesis tests and other 
	techniques for identifying certain spatial relationships/phenomena in 
	DNA sequences. In particular, it provides tests and graphical methods for determining 
	whether or not DNA sequences comply with Chargaff's second parity rule 
	or exhibit purine-pyrimidine parity. In addition, there are functions for 
	efficiently simulating discrete state space Markov chains and testing 
	arbitrary symbolic sequences of symbols for the presence of first-order 
	Markovianness.
	Also, it has functions for counting words/k-mers (and cylinder patterns) in 
	arbitrary symbolic sequences. Functions which take a DNA sequence as input 
	can handle sequences stored as SeqFastadna objects from the 'seqinr' package.
| Version: | 
1.0-4 | 
| Depends: | 
R (≥ 3.0) | 
| Imports: | 
graphics, stats | 
| Enhances: | 
seqinr | 
| Published: | 
2023-10-03 | 
| DOI: | 
10.32614/CRAN.package.spgs | 
| Author: | 
Andrew Hart [aut, cre],
  Servet MartÃnez [aut],
  Universidad de Chile [cph],
  INRIA-Chile [cph] | 
| Maintainer: | 
Andrew Hart  <ahart at dim.uchile.cl> | 
| License: | 
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] | 
| Copyright: | 
Universidad de Chile, INRIA-Chile | 
| NeedsCompilation: | 
yes | 
| Classification/MSC: | 
62F03, 62G10, 62M07, 62P10, 92D20 | 
| Citation: | 
spgs citation info  | 
| Materials: | 
NEWS  | 
| CRAN checks: | 
spgs results | 
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