Showing 6 of total 6 results (show query)
hypertidy
silicate:Common Forms for Complex Hierarchical and Relational Data Structures
Generate common data forms for complex data suitable for conversions and transmission by decomposition as paths or primitives. Paths are sequentially-linked records, primitives are basic atomic elements and both can model many forms and be grouped into hierarchical structures. The universal models 'SC0' (structural) and 'SC' (labelled, relational) are composed of edges and can represent any hierarchical form. Specialist models 'PATH', 'ARC' and 'TRI' provide the most common intermediate forms used for converting from one form to another. The methods are inspired by the simplicial complex <https://en.wikipedia.org/wiki/Simplicial_complex> and provide intermediate forms that relate spatial data structures to this mathematical construct.
Maintained by Michael D. Sumner. Last updated 1 years ago.
hierarchical-datasimplicial-complexspatial-datastructural-primitivestopologytriangulation
54 stars 7.28 score 111 scripts 7 dependentsjedick
canprot:Chemical Analysis of Proteins
Chemical analysis of proteins based on their amino acid compositions. Amino acid compositions can be read from FASTA files and used to calculate chemical metrics including carbon oxidation state and stoichiometric water content, as described in Dick et al. (2020) <doi:10.5194/bg-17-6145-2020>. Other properties that can be calculated include protein length, grand average of hydropathy (GRAVY), isoelectric point (pI), molecular weight (MW), standard molal volume (V0), and metabolic costs (Akashi and Gojobori, 2002 <doi:10.1073/pnas.062526999>; Wagner, 2005 <doi:10.1093/molbev/msi126>; Zhang et al., 2018 <doi:10.1038/s41467-018-06461-1>). A database of amino acid compositions of human proteins derived from UniProt is provided.
Maintained by Jeffrey Dick. Last updated 6 days ago.
amino-acid-compositionchemical-metricshydration-stateisoelectric-pointoxidation-stateproteins
3 stars 6.64 score 46 scripts 1 dependentsizmirlig
PwrGSD:Power in a Group Sequential Design
Tools for the evaluation of interim analysis plans for sequentially monitored trials on a survival endpoint; tools to construct efficacy and futility boundaries, for deriving power of a sequential design at a specified alternative, template for evaluating the performance of candidate plans at a set of time varying alternatives. See Izmirlian, G. (2014) <doi:10.4310/SII.2014.v7.n1.a4>.
Maintained by Grant Izmirlian. Last updated 6 months ago.
4.33 score 60 scripts 2 dependentsghwang-nk
cpss:Change-Point Detection by Sample-Splitting Methods
Implements multiple change searching algorithms for a variety of frequently considered parametric change-point models. In particular, it integrates a criterion proposed by Zou, Wang and Li (2020) <doi:10.1214/19-AOS1814> to select the number of change-points in a data-driven fashion. Moreover, it also provides interfaces for user-customized change-point models with one's own cost function and parameter estimation routine. It is easy to get started with the cpss.* set of functions by accessing their documentation pages (e.g., ?cpss).
Maintained by Guanghui Wang. Last updated 3 years ago.
1 stars 2.70 score 5 scriptscran
DataSimilarity:Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing
A collection of methods for quantifying the similarity of two or more datasets, many of which can be used for two- or k-sample testing. It provides newly implemented methods as well as wrapper functions for existing methods that enable calling many different methods in a unified framework. The methods were selected from the review and comparison of Stolte et al. (2024) <doi:10.1214/24-SS149>.
Maintained by Marieke Stolte. Last updated 12 days ago.
2.00 score