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Bayesian Emulation of Computer Programs
Allows one to estimate the output of a computer program, as a function of the input parameters, without actually running it. The computer program is assumed to be a Gaussian process, whose parameters are estimated using Bayesian techniques that give a PDF of expected program output. This PDF is conditional on a training set of runs, each consisting of a point in parameter space and the model output at that point. The emphasis is on complex codes that take weeks or months to run, and that have a large number of undetermined input parameters; many climate prediction models fall into this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output of a model, conditioned on results from previous runs and a user-specified prior linear model. The package includes functionality to evaluate quadratic forms efficiently.
Methods for Changepoint Detection
Implements various mainstream and specialised changepoint methods for finding single and multiple changepoints within data. Many popular non-parametric and frequentist methods are included. The cpt.mean(), cpt.var(), cpt.meanvar() functions should be your first point of call.
Create and Explore Geographic Zoning Systems
Functions, documentation and example data to help divide
geographic space into discrete polygons (zones).
The package supports new zoning systems that are documented in the
accompanying paper,
"ClockBoard: A zoning system for urban analysis",
by Lovelace et al. (2022)
Non-Ordered Vectors
Functionality for manipulating values of associative
maps. The package is a dependency for mvp-type
packages that use the STL map class: it traps
plausible idiom that is ill-defined (implementation-specific) and
returns an informative error, rather than returning a possibly
incorrect result. To cite the package in publications please use
Hankin (2022)
Create, Read, Write, and Work with 'iCalendar' Files, Calendars and Scheduling Data
Provides function to create, read, write, and work with 'iCalendar' files (which typically have '.ics' or '.ical' extensions), and the scheduling data, calendars and timelines of people, organisations and other entities that they represent. 'iCalendar' is an open standard for exchanging calendar and scheduling information between users and computers, described at < https://icalendar.org/>.
Planning and Analysing Survival Studies under Non-Proportional Hazards
Piecewise constant hazard functions are used to flexibly model survival distributions with non-proportional hazards and
to simulate data from the specified distributions. A function to calculate weighted log-rank tests for the comparison of two
hazard functions is included. Also, a function to calculate a test using the maximum of a set of test statistics from weighted
log-rank tests (MaxCombo test) is provided. This test utilizes the asymptotic multivariate normal joint distribution of the
separate test statistics. The correlation is estimated from the data. These methods are described in Ristl et al. (2021)
Colors for all
Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes cyclic and bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
Octonions and Quaternions
Quaternions and Octonions are four- and eight- dimensional extensions of the complex numbers. They are normed division algebras over the real numbers and find applications in spatial rotations (quaternions), and string theory and relativity (octonions). The quaternions are noncommutative and the octonions nonassociative. See the package vignette for more details.
Flexible Framework for Developing Spatial Interaction Models
Develop spatial interaction models (SIMs). SIMs predict the
amount of interaction, for example number of trips per day, between
geographic entities representing trip origins and destinations.
Contains functions for creating origin-destination datasets
from geographic input datasets and calculating movement between
origin-destination pairs with constrained, production-constrained,
and attraction-constrained models (Wilson 1979)
Efficient Evaluation of Quadratic Forms
A range of quadratic forms are evaluated, using efficient methods. Unnecessary transposes are not performed. Complex values are handled consistently.