Found 43 packages in 0.01 seconds
Collect, Assemble and Model Air Pollution, Weather and Health Data
Collection of utility functions used in the KEHRA project (see http://www.brunel.ac.uk/ife/britishcouncil). It refers to the multidimensional analysis of air pollution, weather and health data.
API Wrapper Around 'Postcodes.io'
Free UK geocoding using data from Office for National Statistics. It is using several functions to get information about post codes, outward codes, reverse geocoding, nearest post codes/outward codes, validation, or randomly generate a post code. API wrapper around < https://postcodes.io>.
UK National River Flow Archive Data from R
Utility functions to retrieve data from the UK National River Flow Archive (< https://nrfa.ceh.ac.uk/>, terms and conditions: < https://nrfa.ceh.ac.uk/costs-terms-and-conditions>). The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information. The package is fully described in Vitolo et al (2016) "rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive" < https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.
Accurate Timing Functions
Provides infrastructure to accurately measure and compare the execution time of R expressions.
Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms
A fast reimplementation of several density-based algorithms
of the DBSCAN family. Includes the clustering algorithms DBSCAN
(density-based spatial clustering of applications with noise) and
HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering
points to identify the clustering structure), shared nearest neighbor
clustering, and the outlier detection algorithms LOF (local outlier
factor) and GLOSH (global-local outlier score from hierarchies). The
implementations use the kd-tree data structure (from library ANN) for
faster k-nearest neighbor search. An R interface to fast kNN and
fixed-radius NN search is also provided. Hahsler, Piekenbrock and
Doran (2019)
Conversion of R Regression Output to LaTeX or HTML Tables
Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented. Details can be found in Leifeld (2013), JStatSoft
Statistical Inference of Vine Copulas
Provides tools for the statistical analysis of regular vine copula
models, see Aas et al. (2009)
Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)
Comfortable ways to work with hyperspectral data sets. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f(wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable.
Soft Classification Performance Measures
An extension of sensitivity, specificity, positive and negative predictive value to continuous predicted and reference memberships in [0, 1].
Colocalisation Tests of Two Genetic Traits
Performs the colocalisation tests described in
Giambartolomei et al (2013)