|
r-dgof
|
public |
This package contains a proposed revision to the stats::ks.test() function and the associated ks.test.Rd help page. With one minor exception, it does not change the existing behavior of ks.test(), and it adds features necessary for doing one-sample tests with hypothesized discrete distributions. The package also contains cvm.test(), for doing one-sample Cramer-von Mises goodness-of-fit tests.
|
2023-06-16 |
|
r-deepboost
|
public |
Provides deep boosting models training, evaluation, predicting and hyper parameter optimising using grid search and cross validation. Based on Google's Deep Boosting algorithm, and Google's C++ implementation. Cortes, C., Mohri, M., & Syed, U. (2014) <http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.
|
2023-06-16 |
|
r-detsel
|
public |
In the new era of population genomics, surveys of genetic polymorphism ("genome scans") offer the opportunity to distinguish locus-specific from genome wide effects at many loci. Identifying presumably neutral regions of the genome that are assumed to be influenced by genome-wide effects only, and excluding presumably selected regions, is therefore critical to infer population demography and phylogenetic history reliably. Conversely, detecting locus-specific effects may help identify those genes that have been, or still are, targeted by natural selection. The software package DetSel has been developed to identify markers that show deviation from neutral expectation in pairwise comparisons of diverging populations.
|
2023-06-16 |
|
r-desolve
|
public |
Functions that solve initial value problems of a system of first-order ordinary differential equations ('ODE'), of partial differential equations ('PDE'), of differential algebraic equations ('DAE'), and of delay differential equations. The functions provide an interface to the FORTRAN functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK' collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk' and a C-implementation of solvers of the 'Runge-Kutta' family with fixed or variable time steps. The package contains routines designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D partial differential equations ('PDE') that have been converted to 'ODEs' by numerical differencing.
|
2023-06-16 |
|
r-deoptim
|
public |
Implements the differential evolution algorithm for global optimization of a real-valued function of a real-valued parameter vector.
|
2023-06-16 |
|
r-deformula
|
public |
Numerical quadrature of functions of one variable over a finite or infinite interval with double exponential formulas.
|
2023-06-16 |
|
r-detmcd
|
public |
Implementation of DetMCD, a new algorithm for robust and deterministic estimation of location and scatter. The benefits of robust and deterministic estimation are explained in Hubert, Rousseeuw and Verdonck (2012) <doi:10.1080/10618600.2012.672100>.
|
2023-06-16 |
|
r-dbest
|
public |
A program for analyzing vegetation time series, with two algorithms: 1) change detection algorithm that detects trend changes, determines their type (abrupt or non-abrupt), and estimates their timing, magnitude, number, and direction; 2) generalization algorithm that simplifies the temporal trend into main features. The user can set the number of major breakpoints or magnitude of greatest changes of interest for detection, and can control the generalization process by setting an additional parameter of generalization-percentage.
|
2023-06-16 |
|
r-datamaps
|
public |
Easily create interactive choropleth maps then add bubbles and arcs by coordinates or region name. These maps can be used directly from the console, from 'RStudio', in 'Shiny' apps and 'R Markdown' documents. 'Shiny' proxies allow to interactively add arcs and bubbles, change choropleth values, or change labels.
|
2023-06-16 |
|
r-dam
|
public |
A collection of functions which aim to assist common computational workflow for analysis of matabolomic data..
|
2023-06-16 |
|
r-daarem
|
public |
Implements the DAAREM method for accelerating the convergence of slow, monotone sequences from smooth, fixed-point iterations such as the EM algorithm. For further details about the DAAREM method. see Henderson, N.C. and Varadhan, R. (2018) <arXiv:1803.06673>.
|
2023-06-16 |
|
r-cvq2
|
public |
The external prediction capability of quantitative structure-activity relationship (QSAR) models is often quantified using the predictive squared correlation coefficient. This value can be calculated with an external data set or by cross validation.
|
2023-06-16 |
|
r-decoder
|
public |
Main function "decode" is used to decode coded key values to plain text. Function "code" can be used to code plain text to code if there is a 1:1 relation between the two. The concept relies on 'keyvalue' objects used for translation. There are several 'keyvalue' objects included in the areas of geographical regional codes, administrative health care unit codes, diagnosis codes and more. It is also easy to extend the use by arbitrary code sets.
|
2023-06-16 |
|
r-dbemplikegof
|
public |
Goodness-of-fit and two sample comparison tests using sample entropy
|
2023-06-16 |
|
r-datetimeutils
|
public |
Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
|
2023-06-16 |
|
r-databaseconnectorjars
|
public |
Provides external JAR dependencies for the 'DatabaseConnector' package.
|
2023-06-16 |
|
r-d3plus
|
public |
Provides functions that offer seamless 'D3Plus' integration. The examples provided here are taken from the official 'D3Plus' website <http://d3plus.org>.
|
2023-06-16 |
|
r-dataseries
|
public |
Download and import time series from <http://www.dataseries.org>, a comprehensive and up-to-date collection of open data from Switzerland.
|
2023-06-16 |
|
r-dataqualityr
|
public |
The package performs variable level data quality checks including missing values, unique values, frequency tables, and generates summary statistics
|
2023-06-16 |
|
r-dasst
|
public |
Provides methods for reading, displaying, processing and writing files originally arranged for the 'DSSAT-CSM' fixed width format. The 'DSSAT-CSM' cropping system model is described at J.W. Jones, G. Hoogenboomb, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt, P.W. Wilkens, U. Singh, A.J. Gijsman, J.T. Ritchie (2003) <doi:10.1016/S1161-0301(02)00107-7>.
|
2023-06-16 |
|
r-dagr
|
public |
Functions to draw, manipulate, evaluate directed acyclic graphs and simulate corresponding data.
|
2023-06-16 |
|
r-datarium
|
public |
Contains data organized by topics: categorical data, regression model, means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.
|
2023-06-16 |
|
r-dashboard
|
public |
The dashboard package allows users to create web pages which display interactive data visualizations working in a standard modern browser. It displays them locally using the Rook server. Nor knowledge about web technologies nor Internet connection are required. D3.js is a JavaScript library for manipulating documents based on data. D3 helps the dashboard package bring data to life using HTML, SVG and CSS.
|
2023-06-16 |
|
r-cumplyr
|
public |
Extends ddply to allow calculation of cumulative quantities.
|
2023-06-16 |
|
r-debugr
|
public |
Tool to print out the value of R objects/expressions while running an R script. Outputs can be made dependent on user-defined conditions/criteria. Debug messages only appear when a global option for debugging is set. This way, 'debugr' code can even remain in the debugged code for later use without any negative effects during normal runtime.
|
2023-06-16 |
|
r-daime
|
public |
Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .
|
2023-06-16 |
|
r-datarobot
|
public |
For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
|
2023-06-16 |
|
r-cyclocomp
|
public |
Cyclomatic complexity is a software metric (measurement), used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program's source code. It was developed by Thomas J. McCabe, Sr. in 1976.
|
2023-06-16 |
|
r-cuttlefish.model
|
public |
This package can be used to standardize abundance indices using the delta-GLM method and to model the English Channel cuttlefish stock using a two-stage biomass model
|
2023-06-16 |
|
r-customerscoringmetrics
|
public |
Functions for evaluating and visualizing predictive model performance (specifically: binary classifiers) in the field of customer scoring. These metrics include lift, lift index, gain percentage, top-decile lift, F1-score, expected misclassification cost and absolute misclassification cost. See Berry & Linoff (2004, ISBN:0-471-47064-3), Witten and Frank (2005, 0-12-088407-0) and Blattberg, Kim & Neslin (2008, ISBN:978–0–387–72578–9) for details. Visualization functions are included for lift charts and gain percentage charts. All metrics that require class predictions offer the possibility to dynamically determine cutoff values for transforming real-valued probability predictions into class predictions.
|
2023-06-16 |
|
r-blocksdesign
|
public |
Constructs D-optimal or near D-optimal nested and crossed block designs for unstructured or general factorial treatment designs. The treatment design, if required, is found from a model matrix design formula and can be added sequentially, if required. The block design is found from a defined set of block factors and is conditional on the defined treatment design. The block factors are added in sequence and each added block factor is optimized conditional on all previously added block factors. The block design can have repeated nesting down to any required depth of nesting with either simple nested blocks or a crossed blocks design at each level of nesting. Outputs include a table showing the allocation of treatments to blocks and tables showing the achieved D-efficiency factors for each block and treatment design.
|
2023-06-16 |
|
r-dcg
|
public |
Data cloud geometry (DCG) applies random walks in finding community structures for social networks. Fushing, VanderWaal, McCowan, & Koehl (2013) (<doi:10.1371/journal.pone.0056259>).
|
2023-06-16 |
|
r-cvmgof
|
public |
It is devoted to Cramer-von Mises goodness-of-fit tests. It implements three statistical methods based on Cramer-von Mises statistics to estimate and test a regression model.
|
2023-06-16 |
|
r-cumstats
|
public |
Cumulative descriptive statistics for (arithmetic, geometric, harmonic) mean, median, mode, variance, skewness and kurtosis.
|
2023-06-16 |
|
r-cumseg
|
public |
Estimation of number and location of change points in mean-shift (piecewise constant) models. Particularly useful to model genomic sequences of continuous measurements.
|
2023-06-16 |
|
r-deconvolver
|
public |
Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods.
|
2023-06-16 |
|
r-dbhydror
|
public |
Client for programmatic access to the South Florida Water Management District's 'DBHYDRO' database at <https://www.sfwmd.gov/science-data/dbhydro>, with functions for accessing hydrologic and water quality data.
|
2023-06-16 |
|
r-datasaurus
|
public |
The Datasaurus Dozen is a set of datasets with the same summary statistics. They retain the same summary statistics despite having radically different distributions. The datasets represent a larger and quirkier object lesson that is typically taught via Anscombe's Quartet (available in the 'datasets' package). Anscombe's Quartet contains four very different distributions with the same summary statistics and as such highlights the value of visualisation in understanding data, over and above summary statistics. As well as being an engaging variant on the Quartet, the data is generated in a novel way. The simulated annealing process used to derive datasets from the original Datasaurus is detailed in "Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing" <doi:10.1145/3025453.3025912>.
|
2023-06-16 |
|
r-daagxtras
|
public |
various data sets used in additional exercises for the book Maindonald, J.H. and Braun, W.J. (3rd edn 2010) "Data Analysis and Graphics Using R", and for a 'Data Mining' course. Note that a number of datasets that were in earlier versions of this package have been transferred to the DAAG package.
|
2023-06-16 |
|
r-cycloids
|
public |
Tools for calculating coordinate representations of hypocycloids, epicyloids, hypotrochoids, and epitrochoids (altogether called 'cycloids' here) with different scaling and positioning options. The cycloids can be visualised with any appropriate graphics function in R.
|
2023-06-16 |
|
r-curry
|
public |
Partial application is the process of reducing the arity of a function by fixing one or more arguments, thus creating a new function lacking the fixed arguments. The curry package provides three different ways of performing partial function application by fixing arguments from either end of the argument list (currying and tail currying) or by fixing multiple named arguments (partial application). This package provides this functionality through the %<%, %-<%, and %><% operators which allows for a programming style comparable to modern functional languages. Compared to other implementations such a purrr::partial() the operators in curry composes functions with named arguments, aiding in autocomplete etc.
|
2023-06-16 |
|
r-cttinshiny
|
public |
A Shiny interface developed in close coordination with the CTT package, providing a GUI that guides the user through CTT analyses.
|
2023-06-16 |
|
r-altopt
|
public |
Creates the optimal (D, U and I) designs for the accelerated life testing with right censoring or interval censoring. It uses generalized linear model (GLM) approach to derive the asymptotic variance-covariance matrix of regression coefficients. The failure time distribution is assumed to follow Weibull distribution with a known shape parameter and log-linear link functions are used to model the relationship between failure time parameters and stress variables. The acceleration model may have multiple stress factors, although most ALTs involve only two or less stress factors. ALTopt package also provides several plotting functions including contour plot, Fraction of Use Space (FUS) plot and Variance Dispersion graphs of Use Space (VDUS) plot.
|
2023-06-16 |
|
r-decompr
|
public |
Two global-value-chain decompositions are implemented. Firstly, the Wang-Wei-Zhu (Wang, Wei, and Zhu, 2013) algorithm splits bilateral gross exports into 16 value-added components. Secondly, the Leontief decomposition (default) derives the value added origin of exports by country and industry, which is also based on Wang, Wei, and Zhu (Wang, Z., S.-J. Wei, and K. Zhu. 2013. "Quantifying International Production Sharing at the Bilateral and Sector Levels.").
|
2023-06-16 |
|
r-dchipio
|
public |
Functions for reading DCP and CDF.bin files generated by the dChip software.
|
2023-06-16 |
|
r-dacf
|
public |
An implementation of data analytic methods in R for analyses for data with ceiling/floor effects. The package currently includes functions for mean/variance estimation and mean comparison tests. Implemented methods are from Aitkin (1964) <doi:10.1007/BF02289723> and Liu & Wang (in prep).
|
2023-06-16 |
|
r-cytobankapi
|
public |
Tools to interface with Cytobank's API via R, organized by various endpoints that represent various areas of Cytobank functionality. Learn more about Cytobank at <https://www.cytobank.org>.
|
2023-06-16 |
|
r-cxxfunplus
|
public |
extend cxxfunction by saving the dynamic shared objects for reusing across R sessions
|
2023-06-16 |
|
r-cvgee
|
public |
Calculates predictions from generalized estimating equations and internally cross-validates them using the logarithmic, quadratic and spherical proper scoring rules; Kung-Yee Liang and Scott L. Zeger (1986) <doi:10.1093/biomet/73.1.13>.
|
2023-06-16 |
|
r-dataframes2xls
|
public |
Writes data frames to xls files. It supports multiple sheets and basic formatting.
|
2023-06-16 |
