Properties (66)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Academy
|
| gptkbp:allows |
efficient numerical computations
|
| gptkbp:basedOn |
gptkb:Armadillo_library
|
| gptkbp:compatibleWith |
Docker containers
cloud computing platforms R programming language Python through RPy2 various R packages |
| https://www.w3.org/2000/01/rdf-schema#label |
RcppArmadillo
|
| gptkbp:is_available_in |
CRAN
open-source format |
| gptkbp:is_designed_to |
high-performance computing
scientific computing |
| gptkbp:is_integrated_with |
R's syntax
Shiny applications |
| gptkbp:is_known_for |
community support
flexibility performance optimization user-friendly interface robustness ease of use extensive documentation |
| gptkbp:is_part_of |
data science workflows
statistical software packages machine learning pipelines R ecosystem |
| gptkbp:is_popular_among |
data scientists
|
| gptkbp:is_used_in |
academics
data analysis machine learning RStudio clinical trials data transformation data visualization geospatial analysis real-time data analysis research projects statistical modeling time series analysis bioinformatics financial analysis predictive modeling academic publications optimization problems data cleaning simulation studies social science research data exploration environmental modeling big data analysis statistical computing quantitative research. government research projects |
| gptkbp:maintainedBy |
Rcpp team
|
| gptkbp:offers |
advanced statistical methods
|
| gptkbp:provides |
statistical models
data manipulation tools matrix decompositions C++_linear_algebra_library |
| gptkbp:provides_access_to |
C++ functions
|
| gptkbp:requires |
Rcpp_package
|
| gptkbp:suitableFor |
large datasets
|
| gptkbp:supports |
matrix operations
multithreading sparse matrices |
| gptkbp:wrote |
gptkb:C++
|