This package provides a framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.
Interface to easily access Cropland Data Layer (CDL) data for any area of interest via the CropScape
<https://nassgeodata.gmu.edu/CropScape/>
web service.
Modeling under- and over-dispersed count data using extended Poisson process models as in the article Faddy and Smith (2011) <doi:10.18637/jss.v069.i06> .
This package provides tools for working with polygons with holes in ggplot2', with a new geom for drawing a polypath applying the evenodd or winding rules.
This package provides a Chernoff face geom for ggplot2'. Maps multivariate data to human-like faces. Inspired by Chernoff (1973) <doi:10.1080/01621459.1973.10482434>.
This toolbox makes working with oxygen, carbon, and clumped isotope data reproducible and straightforward. Use it to quickly calculate isotope fractionation factors, and apply paleothermometry equations.
Miscellaneous tools and functions, including: generate descriptive statistics tables, format output, visualize relations among variables or check distributions, and generic functions for residual and model diagnostics.
Enables preparation of maps to be printed and drawn on. Modified maps can then be scanned back in, and hand-drawn marks converted to spatial objects.
Estimating the first and second derivatives of a regression function by the method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.
It provides easy internationalization of Shiny applications. It can be used as standalone translation package to translate reports, interactive visualizations or graphical elements as well.
This package provides functions for conducting jackknife Euclidean / empirical likelihood inference for Spearman's rho (de Carvalho and Marques (2012) <doi:10.1080/10920277.2012.10597644>).
This package provides an extension for SQL queries as separate file within targets pipelines. The shorthand creates two targets, the query file and the query result.
Symbolic central and non-central moments of the multivariate normal distribution. Computes a standard representation, LateX
code, and values at specified mean and covariance matrices.
This package provides color palettes corresponding to professional and amateur, sports teams. These can be useful in creating data graphics that are themed for particular teams.
The uc.check()
function checks whether the roots of a given polynomial lie outside the Unit circle. You can also easily draw an unit circle.
Collect multichannel marketing data from sources such as Google analytics, Facebook Ads, and many others using the Windsor.ai API <https://www.windsor.ai/api-fields/>.
This package provides a collection of tools to deal with statistical models. The functionality is experimental and the user interface is likely to change in the future.
The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.
This package implements S4 classes and various tools for financial time series. Basic functions such as scaling and sorting, subsetting, mathematical operations and statistical functions are provided.
With this package you can add in-app user authentication to Shiny, allowing you to secure publicly hosted apps and build dynamic user interfaces from user information.
Lexical is high-performance numeric conversion routines for use in a no_std environment. This does not depend on any standard library features, nor a system allocator.
Lexical is high-performance numeric conversion routines for use in a no_std environment. This does not depend on any standard library features, nor a system allocator.
There are situations where you need to intentionally leak some memory but not other memory. This package provides a discard trait which allows for intentionally leaking memory
This package provides a Readable
type class for reading data types from ByteString
and Text
. It also includes efficient implementations for common data types.