Showing 6 of total 6 results (show query)
bioc
BiocHail:basilisk and hail
Use hail via basilisk when appropriate, or via reticulate. This package can be used in terra.bio to interact with UK Biobank resources processed by hail.is.
Maintained by Vincent Carey. Last updated 4 months ago.
infrastructurebioconductorgeneticshail
36.8 match 6 stars 4.53 score 19 scripts
cran
sparkhail:A 'Sparklyr' Extension for 'Hail'
'Hail' is an open-source, general-purpose, 'python' based data analysis tool with additional data types and methods for working with genomic data, see <https://hail.is/>. 'Hail' is built to scale and has first-class support for multi-dimensional structured data, like the genomic data in a genome-wide association study (GWAS). 'Hail' is exposed as a 'python' library, using primitives for distributed queries and linear algebra implemented in 'scala', 'spark', and increasingly 'C++'. The 'sparkhail' is an R extension using 'sparklyr' package. The idea is to help R users to use 'hail' functionalities with the well-know 'tidyverse' syntax, see <https://www.tidyverse.org/>.
Maintained by Samuel Macêdo. Last updated 5 years ago.
10.4 match 1.70 score
mrc-ide
malariasimulation:An individual based model for malaria
Specifies the latest and greatest malaria model.
Maintained by Giovanni Charles. Last updated 27 days ago.
1.5 match 16 stars 8.17 score 146 scripts
kamapu
yamlme:Writing 'YAML' Headers for 'R-Markdown' Documents
Setting layout through 'YAML' headers in 'R-Markdown' documents, enabling their automatic generation. Functions and methods may summarize 'R' objects in automatic reports, for instance check-lists and further reports applied to the packages 'taxlist' and 'vegtable'.
Maintained by Miguel Alvarez. Last updated 9 months ago.
1.6 match 4 stars 6.06 score 12 scripts 4 dependentscran
radar:Fundamental Formulas for Radar
Fundamental formulas for Radar, for attenuation, range, velocity, effectiveness, power, scatter, doppler, geometry, radar equations, etc. Based on Nick Guy's Python package PyRadarMet
Maintained by Jose Gama. Last updated 10 years ago.
1.9 match 1 stars 1.00 score
jsandube
DChaos:Chaotic Time Series Analysis
Chaos theory has been hailed as a revolution of thoughts and attracting ever increasing attention of many scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like an erratic and apparently random motion. A relevant field inside chaos theory and nonlinear time series analysis is the detection of a chaotic behaviour from empirical time series data. One of the main features of chaos is the well known initial value sensitivity property. Methods and techniques related to test the hypothesis of chaos try to quantify the initial value sensitive property estimating the Lyapunov exponents. The DChaos package provides different useful tools and efficient algorithms which test robustly the hypothesis of chaos based on the Lyapunov exponent in order to know if the data generating process behind time series behave chaotically or not.
Maintained by Julio E. Sandubete. Last updated 2 years ago.
0.5 match 1 stars 2.00 score 9 scripts