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r-oca
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public |
Computes optimal capital allocations based on some standard principles such as Haircut, Overbeck type II and the Covariance Allocation Principle. It also provides some shortcuts for obtaining the Value at Risk and the Expectation Shortfall, using both the normal and the t-student distribution, see Urbina and Guillén (2014)<doi:10.1016/j.eswa.2014.05.017> and Urbina (2013)<http://hdl.handle.net/2099.1/19443>.
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2025-04-22 |
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r-obssens
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public |
Observational studies are limited in that there could be an unmeasured variable related to both the response variable and the primary predictor. If this unmeasured variable were included in the analysis it would change the relationship (possibly changing the conclusions). Sensitivity analysis is a way to see how much of a relationship needs to exist with the unmeasured variable before the conclusions change. This package provides tools for doing a sensitivity analysis for regression (linear, logistic, and cox) style models.
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2025-04-22 |
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r-obs.agree
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public |
The package includes two functions for measuring agreement. Raw Agreement Indices (RAI) to categorical data and Information-Based Measure of Disagreement (IBMD) to continuous data. It can be used for multiple raters and multiple readings cases.
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2025-04-22 |
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r-obmbpkg
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public |
Applies an objective Bayesian method to the Mb capture-recapture model to estimate the population size N. The Mb model is a class of capture-recapture methods used to account for variations in capture probability due to animal behavior. Under the Mb formulation, the initial capture of an animal may effect the probability of subsequent captures due to their becoming "trap happy" or "trap shy."
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2025-04-22 |
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r-objectsignals
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public |
A mutable Signal object can report changes to its state, clients could register functions so that they are called whenever the signal is emited. The signal could be emited, disconnected, blocked, unblocked, and buffered.
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2025-04-22 |
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r-oarray
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public |
Generalise the starting point of the array index.
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2025-04-22 |
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r-oak
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public |
Functions and classes to create and manipulate trees and nodes.
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2025-04-22 |
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r-oaiharvester
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public |
Harvest metadata using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) version 2.0 (for more information, see <http://www.openarchives.org/OAI/openarchivesprotocol.html>).
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2025-04-22 |
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r-oacolors
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public |
Provides carefully chosen color palettes as used a.o. at OpenAnalytics <http://www.openanalytics.eu>.
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2025-04-22 |
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r-nzpullover
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public |
Datasets of driving offences and fines in New Zealand between 2009 and 2017. Originally published by the New Zealand Police at <http://www.police.govt.nz/about-us/publication/road-policing-driver-offence-data-january-2009-december-2017>.
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2025-04-22 |
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r-nzilbb.labbcat
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public |
'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20190425.1121 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
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2025-04-22 |
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r-nzelect
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public |
Convenient access to New Zealand election results by voting place. Voting places have been matched to Regional Council, Territorial Authority, and Area Unit, to facilitate matching with additional data. Opinion polls since 2002 and some convenience analytical function are also supplied.
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2025-04-22 |
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r-nws
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public |
Provides coordination and parallel execution facilities, as well as limited cross-language data exchange, using the netWorkSpaces server developed by REvolution Computing
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2025-04-22 |
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r-nutshell.bbdb
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public |
This package contains the baseball databank data set used as an example in the book "R in a Nutshell" from O'Reilly Media. For more information about this book, see http://shop.oreilly.com/product/0636920022008.do
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2025-04-22 |
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r-nutshell.audioscrobbler
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public |
This package contains the Audio Scrobbler data set used as an example in the book "R in a Nutshell" from O'Reilly Media. For more information about this book, see http://shop.oreilly.com/product/0636920022008.do
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2025-04-22 |
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r-numkm
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public |
To add the table of numbers at risk below the Kaplan-Meier plot.
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2025-04-22 |
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r-numgen
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public |
A number series generator that creates number series items based on cognitive models.
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2025-04-22 |
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r-numform
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public |
Format numbers and plots for publication; includes the removal of leading zeros, standardization of number of digits, addition of affixes, and a p-value formatter. These tools combine the functionality of several 'base' functions such as 'paste()', 'format()', and 'sprintf()' into specific use case functions that are named in a way that is consistent with usage, making their names easy to remember and easy to deploy.
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2025-04-22 |
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r-numbersbr
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public |
Validate, format and compare identification numbers used in Brazil. These numbers are used to identify individuals (CPF), vehicles (RENAVAN), companies (CNPJ) and etc. Functions to format, validate and compare these numbers have been implemented in a vectorized way in order to speed up validations and comparisons in big datasets.
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2025-04-22 |
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r-numbers
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Provides number-theoretic functions for factorization, prime numbers, twin primes, primitive roots, modular logarithm and inverses, extended GCD, Farey series and continuous fractions. Includes Legendre and Jacobi symbols, some divisor functions, Euler's Phi function, etc.
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2025-04-22 |
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r-nsrr
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public |
Allows users to access data from the National Sleep Research Resource ('NSRR') <https://sleepdata.org/>.
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2025-04-22 |
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r-nsprcomp
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public |
Two methods for performing a constrained principal component analysis (PCA), where non-negativity and/or sparsity constraints are enforced on the principal axes (PAs). The function 'nsprcomp' computes one principal component (PC) after the other. Each PA is optimized such that the corresponding PC has maximum additional variance not explained by the previous components. In contrast, the function 'nscumcomp' jointly computes all PCs such that the cumulative variance is maximal. Both functions have the same interface as the 'prcomp' function from the 'stats' package (plus some extra parameters), and both return the result of the analysis as an object of class 'nsprcomp', which inherits from 'prcomp'. See <https://sigg-iten.ch/learningbits/2013/05/27/nsprcomp-is-on-cran/> and Sigg et al. (2008) <doi:10.1145/1390156.1390277> for more details.
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2025-04-22 |
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r-nso1212
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public |
National Statistical Office of Mongolia (NSO) is the national statistical service and an organization of Mongolian government. NSO provides open access and official data via its web site <http://www.1212.mn/> and API <http://opendata.1212.mn/en/doc>. The package NSO1212 has functions for accessing the API service. The functions are compatible with the API v2.0 and get data sets and its detailed informations from the API.
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2025-04-22 |
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r-nsgp
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A Gaussian process regression using a Gaussian kernel for both one-sample and two-sample cases. Includes non-stationary Gaussian kernel (exponential decay function) and several likelihood ratio tests for differential testing along target points.
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2025-04-22 |
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r-nscancor
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Two implementations of canonical correlation analysis (CCA) that are based on iterated regression. By choosing the appropriate regression algorithm for each data domain, it is possible to enforce sparsity, non-negativity or other kinds of constraints on the projection vectors. Multiple canonical variables are computed sequentially using a generalized deflation scheme, where the additional correlation not explained by previous variables is maximized. 'nscancor' is used to analyze paired data from two domains, and has the same interface as the 'cancor' function from the 'stats' package (plus some extra parameters). 'mcancor' is appropriate for analyzing data from three or more domains. See <http://sigg-iten.ch/learningbits/2014/01/20/canonical-correlation-analysis-under-constraints/> and Sigg et al. (2007) <doi:10.1109/MLSP.2007.4414315> for more details.
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2025-04-22 |
