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r-caret
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None |
Misc functions for training and plotting classification and regression models
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2023-06-16 |
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r-chron
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None |
Chronological objects which can handle dates and times
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2023-06-16 |
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r-modeltools
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None |
A collection of tools to deal with statistical models. The functionality is experimental and the user interface is likely to change in the future. The documentation is rather terse, but packages `coin' and `party' have some working examples. However, if you find the implemented ideas interesting we would be very interested in a discussion of this proposal. Contributions are more than welcome!
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2023-06-16 |
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r-coin
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None |
Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems.
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2023-06-16 |
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r-dbi
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None |
No Summary
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2023-06-16 |
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r-dt
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None |
Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.
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2023-06-16 |
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r-pbkrtest
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None |
Test in linear mixed effects models. . Attention is on linear mixed effects models as implemented in the lme4 package. . The package implements a parametric bootstrap test. . The package implements a Kenward-Roger modification of F-tests.
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2023-06-16 |
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r-th.data
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None |
Contains data sets used in other packages Torsten Hothorn maintains.
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2023-06-16 |
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r-dplyr
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None |
No Summary
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2023-06-16 |
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r-rversions
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None |
Query the main 'R' 'SVN' repository to find the versions 'r-release' and 'r-oldrel' refer to, and also all previous 'R' versions and their release dates.
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2023-06-16 |
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r-assertthat
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None |
No Summary
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2023-06-16 |
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r-acepack
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None |
No Summary
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2023-06-16 |
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r-estimability
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public |
Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly.
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2023-06-16 |
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r-base
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None |
No Summary
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2023-06-16 |
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r-multcomp
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None |
Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
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2023-06-16 |
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r-ctv
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None |
Server-side and client-side tools for task views to CRAN-style repositories
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2023-06-16 |
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r-lme4
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None |
Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the Eigen C++ library for numerical linear algebra and RcppEigen "glue".
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2023-06-16 |
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r-git2r
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None |
Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
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2023-06-16 |
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r-brew
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None |
No Summary
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2023-06-16 |
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r-adgoftest
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None |
Anderson-Darling GoF test with p-value calculation based on Marsaglia's 2004 paper "Evaluating the Anderson-Darling Distribution"
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2023-06-16 |
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r-digest
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None |
No Summary
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2023-06-16 |
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r-bitops
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None |
No Summary
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2023-06-16 |
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nonexistantdependency
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public |
No Summary
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2023-06-16 |
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r-xml2
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None |
Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
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2023-06-16 |
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r-lsmeans
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public |
Obtain least-squares means for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of least-squares means, and comparisons of slopes. Plots and compact letter displays.
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2023-06-16 |
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r-ttr
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public |
Functions and data to construct technical trading rules with R.
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2023-06-16 |
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r-afex
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None |
Provides convenience functions for analyzing factorial experiments using ANOVA or mixed models. ez.glm(), aov.car(), and aov4() allow convenient specification of between, within (i.e., repeated-measures), or mixed between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), potentially aggregating multiple observations per individual and cell of the design. mixed() fits a mixed model using lme4::lmer() and computes p-values for all effects using either Kenward-Roger approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software). compare.2.vectors() compares two vectors using a variety of tests (t, Wilcoxon, and permutation).
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2023-06-16 |
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r-sparsem
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None |
Basic linear algebra for sparse matrices
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2023-06-16 |
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r-essentials
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public |
Some essential packages for working with R
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2023-06-16 |
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r-hexbin
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None |
Binning and plotting functions for hexagonal bins. Now uses and relies on grid graphics and formal (S4) classes and methods.
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2023-06-16 |
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r-xts
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None |
Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
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2023-06-16 |
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r-rmr2
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None |
Supports the map reduce programming model on top of hadoop streaming
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2023-06-16 |
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r-stringdist
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None |
No Summary
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2023-06-16 |
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iterm2-tools
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None |
iTerm2 tools.
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2023-06-16 |
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r-sp
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None |
No Summary
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2023-06-16 |
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r-rjsonio
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None |
This is a package that allows conversion to and from data in Javascript object notation (JSON) format. This allows R objects to be inserted into Javascript/ECMAScript/ActionScript code and allows R programmers to read and convert JSON content to R objects. This is an alternative to rjson package. Originally, that was too slow for converting large R objects to JSON and was not extensible. rjson's performance is now similar to this package, and perhaps slightly faster in some cases. This package uses methods and is readily extensible by defining methods for different classes, vectorized operations, and C code and callbacks to R functions for deserializing JSON objects to R. The two packages intentionally share the same basic interface. This package (RJSONIO) has many additional options to allow customizing the generation and processing of JSON content. This package uses libjson rather than implementing yet another JSON parser. The aim is to support other general projects by building on their work, providing feedback and benefit from their ongoing development.
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2023-06-16 |
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r-rhive
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None |
RHive is an R extension facilitating distributed computing via HIVE query. It provides an easy to use HQL like SQL and R objects and functions in HQL.
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2023-06-16 |
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r-proc
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None |
Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
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2023-06-16 |
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r-testthat
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None |
No Summary
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2023-06-16 |
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r-rocr
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None |
ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parameterized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parameterization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters.
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2023-06-16 |
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r-microbenchmark
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None |
Provides infrastructure to accurately measure and compare the execution time of R expressions.
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2023-06-16 |
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r-curl
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None |
The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https://, ftps://), 'gzip' compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with HTTP specific tools and logic.
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2023-06-16 |
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r-lubridate
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None |
Lubridate makes it easier to work with dates and times by providing functions to identify and parse date-time data, extract and modify components of a date-time (years, months, days, hours, minutes, and seconds), perform accurate math on date-times, handle time zones and Daylight Savings Time. Lubridate has a consistent, memorable syntax, that makes working with dates fun instead of frustrating.
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2023-06-16 |
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r-plm
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None |
A set of estimators and tests for panel data.
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2023-06-16 |
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r-rjava
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None |
No Summary
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2023-06-16 |
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r-dygraphs
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None |
An R interface to the 'dygraphs' JavaScript charting library (a copy of which is included in the package). Provides rich facilities for charting time-series data in R, including highly configurable series- and axis-display and interactive features like zoom/pan and series/point highlighting.
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2023-06-16 |
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r-xml
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None |
No Summary
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2023-06-16 |
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jags
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None |
JAGS is Just Another Gibbs Sampler.
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2023-06-16 |
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r-diagrammer
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None |
Create graph diagrams and flowcharts using R.
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2023-06-16 |
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r-rex
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None |
No Summary
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2023-06-16 |
