Showing 6 of total 6 results (show query)
r-forge
distr:Object Oriented Implementation of Distributions
S4-classes and methods for distributions.
Maintained by Peter Ruckdeschel. Last updated 2 months ago.
8.77 score 327 scripts 32 dependents
r-hyperspec
hyperSpec: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.
Maintained by Claudia Beleites. Last updated 10 months ago.
data-wranglinghyperspectralimaginginfrarednmrramanspectroscopyuv-visxrf
16 stars 8.10 score 233 scripts 2 dependentsr-forge
distrMod:Object Oriented Implementation of Probability Models
Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Maintained by Peter Ruckdeschel. Last updated 2 months ago.
6.60 score 139 scripts 6 dependents
tconwell
html5:Creates Valid HTML5 Strings
Generates valid HTML tag strings for HTML5 elements documented by Mozilla. Attributes are passed as named lists, with names being the attribute name and values being the attribute value. Attribute values are automatically double-quoted. To declare a DOCTYPE, wrap html() with function doctype(). Mozilla's documentation for HTML5 is available here: <https://developer.mozilla.org/en-US/docs/Web/HTML/Element>. Elements marked as obsolete are not included.
Maintained by Timothy Conwell. Last updated 2 years ago.
1 stars 3.65 score 1 scripts 3 dependents
cran
mistr:Mixture and Composite Distributions
A flexible computational framework for mixture distributions with the focus on the composite models.
Maintained by Lukas Sablica. Last updated 2 years ago.
3.38 score 4 dependentscran
DISTRIB:Four Essential Functions for Statistical Distributions Analysis: A New Functional Approach
A different way for calculating pdf/pmf, cdf, quantile and random data such that the user is able to consider the name of related distribution as an argument and so easily can changed by a changing argument by user. It must be mentioned that the core and computation base of package 'DISTRIB' is package 'stats'. Although similar functions are introduced previously in package 'stats', but the package 'DISTRIB' has some special applications in some special computational programs.
Maintained by Abbas Parchami. Last updated 8 years ago.
2.95 score 3 dependents