Found 86 packages in 0.01 seconds
Vegetated Filter Strip and Erosion Model
Empirical models for runoff, erosion, and phosphorus loss
across a vegetated filter strip, given slope, soils, climate, and
vegetation (Gall et al., 2018)
Optimal Pricing of Assets with Fixed Expiry Date
Calculates the optimal price of assets (such as airline flight seats, hotel room bookings) whose value becomes zero after a fixed ``expiry date''. Assumes potential customers arrive (possibly in groups) according to a known inhomogeneous Poisson process. Also assumes a known time-varying elasticity of demand (price sensitivity) function. Uses elementary techniques based on ordinary differential equations. Uses the package deSolve to effect the solution of these differential equations.
Discretised Beta Distribution
Tools for working with a new versatile discrete distribution, the db ("discretised Beta") distribution. This package provides density (probability), distribution, inverse distribution (quantile) and random data generation functions for the db family. It provides functions to effect conveniently maximum likelihood estimation of parameters, and a variety of useful plotting functions. It provides goodness of fit tests and functions to calculate the Fisher information, different estimates of the hessian of the log likelihood and Monte Carlo estimation of the covariance matrix of the maximum likelihood parameter estimates. In addition it provides analogous tools for working with the beta-binomial distribution which has been proposed as a competitor to the db distribution.
The hse Distribution
Deprecated.
Utilities for SNP-Based Kinship Analysis
Utilities for single nucleotide polymorphism (SNP) based kinship analysis
testing and evaluation. The 'skater' package contains functions for importing, parsing,
and analyzing pedigree data, performing relationship degree inference, benchmarking
relationship degree classification, and summarizing identity by descent (IBD) segment data.
Package functions and methods are described in Turner et al. (2021) "skater: An R package
for SNP-based Kinship Analysis, Testing, and Evaluation"
Partial Least Squares Path Modeling (PLS-PM)
Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005)
Spatial Network Analysis
Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) < https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".
Safe Anytime-Valid Inference
Functions to design and apply tests that are anytime valid. The
functions can be used to design hypothesis tests in the prospective/randomised
control trial setting or in the observational/retrospective setting. The
resulting tests remain valid under both optional stopping and optional
continuation. The current version includes safe t-tests and safe tests of
two proportions. For details on the theory of safe tests, see Ly, A, Boehm,
Grunwald, Ramdas and van Ravenzwaaij (2024). "Safe Anytime-Valid Inference:
Practical maximally flexible sampling designs for experiments based on e-values"
(
R Manuals Literally Translated in Korean
R version 2.1.0 and later support Korean translations of program messages. The continuous efforts have been made by < http://developer.r-project.org/TranslationTeams.html> The R Documentation files are licensed under the General Public License, version 2 or 3. This means that the pilot project to translate them into Korean has permission to reproduce them and translate them. This work is done with GNU 'gettext' utilities. The portable object template is updated a weekly basis or whenever changes are necessary. Comments and corrections via email to the maintainer is of course most welcome. In order to voluntarily participate in or offer your help with this translation, please contact the maintainer. To check the change and progress of Korean translation, please visit < http://www.openstatistics.net>.
Bias-Corrected Sandwich Variance Estimators for Marginal Cox Analysis of Cluster Randomized Trials
The implementation of bias-corrected sandwich variance estimators for the analysis of cluster randomized trials with time-to-event outcomes using the marginal Cox model, proposed by Wang et al. (under review).