Found 471 packages in 0.01 seconds
Tour Methods for Multivariate Data Visualisation
Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Analysis of Quaternary Science Data
Constrained clustering, transfer functions, and other methods for analysing Quaternary science data.
Normalizing Transformation Functions
Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ). ORQ normalization combines a rank-mapping approach with a shifted logit approximation that allows the transformation to work on data outside the original domain. It is also able to handle new data within the original domain via linear interpolation. The package is built to estimate the best normalizing transformation for a vector consistently and accurately. It implements the Box-Cox transformation, the Yeo-Johnson transformation, three types of Lambert WxF transformations, and the ordered quantile normalization transformation. It estimates the normalization efficacy of other commonly used transformations, and it allows users to specify custom transformations or normalization statistics. Finally, functionality can be integrated into a machine learning workflow via recipes.
Nonlinear Regression for Agricultural Applications
Additional nonlinear regression functions using self-start (SS) algorithms. One of the functions is the Beta growth function proposed by Yin et al. (2003)
Create Contour Plots from Data or a Function
Provides functions for making contour plots. The contour plot can be created from grid data, a function, or a data set. If non-grid data is given, then a Gaussian process is fit to the data and used to create the contour plot.
Density, Probability, Quantile ('DPQ') Computations
Computations for approximations and alternatives for the 'DPQ'
(Density (pdf), Probability (cdf) and Quantile) functions for probability
distributions in R.
Primary focus is on (central and non-central) beta, gamma and related
distributions such as the chi-squared, F, and t.
--
For several distribution functions, provide functions implementing formulas from
Johnson, Kotz, and Kemp (1992)
Provides R-Language Code to Examine Quantitative Risk Management Concepts
Provides functions/methods to accompany the book Quantitative Risk Management: Concepts, Techniques and Tools by Alexander J. McNeil, Ruediger Frey, and Paul Embrechts.
Fast Covariance Estimation for Sparse Functional Data
We implement the Fast Covariance Estimation for
Sparse Functional Data paper published in Statistics and Computing
Tools for the Analysis of Air Pollution Data
Tools to analyse, interpret and understand air pollution
data. Data are typically regular time series and air quality
measurement, meteorological data and dispersion model output can be
analysed. The package is described in Carslaw and Ropkins (2012,
Interactive Grammar of Graphics
An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework of 'shiny' and drawing web graphics using 'vega'.