Found 134 packages in 0.01 seconds
Closed Testing Procedure (CTP)
This is a package for constructing hypothesis trees for treatment comparisons based
on the closure principle and analysing the corresponding Closed Testing Procedures (CTP)
using adjusted p-values. For reference, see
Marcus, R., Peritz, E, and Gabriel, K.R. (1976)
Draw Samples of Truncated Multivariate Normal Distributions
Draw samples from truncated multivariate normal distribution using the sequential nearest neighbor (SNN) method introduced in "Scalable Sampling of Truncated Multivariate Normals Using Sequential Nearest-Neighbor Approximation"
'Google Ads API' Interface
Interface for the 'Google Ads API'. 'Google Ads' is an online advertising service that enables advertisers to display advertising to web users (see < https://developers.google.com/google-ads/> for more information).
Linear and Smooth Predictor Modelling with Penalisation and Variable Selection
Fit a model with potentially many linear and smooth predictors. Interaction effects can also be quantified. Variable selection is done using penalisation. For l1-type penalties we use iterative steps alternating between using linear predictors (lasso) and smooth predictors (generalised additive model).
Intensity Analysis of Spatial Point Patterns on Complex Networks
Tools to analyze point patterns in space occurring over planar network structures derived from graph-related intensity measures for undirected, directed, and mixed networks.
This package is based on the following research: Eckardt and Mateu (2018)
Aggregate Numeric, Date and Categorical Variables
Convenience functions for aggregating a data frame or data table. Currently mean, sum and variance are supported. For Date variables, the recency and duration are supported. There is also support for dummy variables in predictive contexts. Code has been completely re-written in data.table for computational speed.
Functional Rarity Indices Computation
Computes functional rarity indices as proposed by Violle et al.
(2017)
Multiple Primary Endpoints
Functions for calculating sample size and power for clinical trials with multiple (co-)primary endpoints.
Taxonomic Information from Around the Web
Interacts with a suite of web application programming interfaces (API) for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more. Some of the services supported include 'NCBI E-utilities' (< https://www.ncbi.nlm.nih.gov/books/NBK25501/>), 'Encyclopedia of Life' (< https://eol.org/docs/what-is-eol/data-services>), 'Global Biodiversity Information Facility' (< https://techdocs.gbif.org/en/openapi/>), and many more. Links to the API documentation for other supported services are available in the documentation for their respective functions in this package.
Estimation in Adaptive Group Sequential Trials
Calculation of repeated confidence intervals as well as confidence intervals based on the stage-wise ordering in group sequential designs and adaptive group sequential designs. For adaptive group sequential designs the confidence intervals are based on the conditional rejection probability principle. Currently the procedures do not support the use of futility boundaries or more than one adaptive interim analysis.