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r-estimatr
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Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
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2025-04-22 |
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r-rationalexp
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We implement a test of the rational expectations hypothesis based on the marginal distributions of realizations and subjective beliefs from D'Haultfoeuille, Gaillac, and Maurel (2018) <doi:10.3386/w25274>. This test can be used in cases where realizations and subjective beliefs are observed in two different datasets that cannot be matched, or when they are observed in the same dataset. The package also computes the estimator of the minimal deviations from rational expectations than can be rationalized by the data.
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2025-04-22 |
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r-padr
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public |
Transforms datetime data into a format ready for analysis. It offers two core functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad).
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2025-04-22 |
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r-bs4dash
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Make 'Bootstrap 4' dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' <https://github.com/almasaeed2010/AdminLTE/tree/v3-dev>.
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2025-04-22 |
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r-ggpage
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Facilitates the creation of page layout visualizations in which words are represented as rectangles with sizes relating to the length of the words. Which then is divided in lines and pages for easy overview of up to quite large texts.
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2025-04-22 |
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r-graphtweets
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Allows building an edge table from data frame of tweets, also provides function to build nodes and another create a temporal graph.
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2025-04-22 |
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r-nardl
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Computes the nonlinear cointegrating autoregressive distributed lag model with p lags of the dependent variables and q lags of independent variables proposed by (Shin, Yu & Greenwood-Nimmo, 2014 <doi:10.1007/978-1-4899-8008-3_9>).
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2025-04-22 |
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r-argonr
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R wrapper around the argon HTML library. More at <https://demos.creative-tim.com/argon-design-system/>.
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2025-04-22 |
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r-rlab
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public |
Functions and Datasets Required for ST370 class
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2025-04-22 |
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r-intergraph
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public |
Functions implemented in this package allow to coerce (i.e. convert) network data between classes provided by other R packages. Currently supported classes are those defined in packages: network and igraph.
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2025-04-22 |
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r-tester
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tester allows you to test characteristics of common R objects.
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2025-04-22 |
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r-ggnetwork
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Geometries to plot network objects with 'ggplot2'.
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2025-04-22 |
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r-rioja
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public |
Stratigraphic diagrams, constrained clustering, transfer functions, and other methods for analysing Quaternary science data.
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2025-04-22 |
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r-echarts4r
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public |
Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 34 chart types, themes, 'Shiny' proxies and animations.
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2025-04-22 |
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r-pairsd3
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Creates an interactive scatterplot matrix using the D3 JavaScript library. See <http://d3js.org/> for more information on D3.
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2025-04-22 |
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r-sigmajs
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Interface to 'sigma.js' graph visualization library including animations, plugins and shiny proxies.
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2025-04-22 |
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r-ffbase
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Extends the out of memory vectors of 'ff' with statistical functions and other utilities to ease their usage.
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2025-04-22 |
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r-hashmap
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Provides a hash table class for fast key-value storage of atomic vector types.
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2025-04-22 |
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r-radiant.data
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public |
The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
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2025-04-22 |
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r-performanceanalytics
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Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
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2025-04-22 |
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r-flare
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Provide the implementation of a family of Lasso variants including Dantzig Selector, LAD Lasso, SQRT Lasso, Lq Lasso for estimating high dimensional sparse linear model. We adopt the alternating direction method of multipliers and convert the original optimization problem into a sequential L1 penalized least square minimization problem, which can be efficiently solved by linearization algorithm. A multi-stage screening approach is adopted for further acceleration. Besides the sparse linear model estimation, we also provide the extension of these Lasso variants to sparse Gaussian graphical model estimation including TIGER and CLIME using either L1 or adaptive penalty. Missing values can be tolerated for Dantzig selector and CLIME. The computation is memory-optimized using the sparse matrix output.
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2025-04-22 |
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r-linkcomm
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Link communities reveal the nested and overlapping structure in networks, and uncover the key nodes that form connections to multiple communities. linkcomm provides a set of tools for generating, visualizing, and analysing link communities in networks of arbitrary size and type. The linkcomm package also includes tools for generating, visualizing, and analysing Overlapping Cluster Generator (OCG) communities.
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2025-04-22 |
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r-vbsr
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Efficient algorithm for solving ultra-sparse regularized regression models using a variational Bayes algorithm with a spike (l0) prior. Algorithm is solved on a path, with coordinate updates, and is capable of generating very sparse models. There are very general model diagnostics for controling type-1 error included in this package.
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2025-04-22 |
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r-varhandle
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Variables are the fundamental parts of each programming language but handling them efficiently might be frustrating for programmers. This package contains some functions to help user (especially data explorers) to make more sense of their variables and take the most out of variables and hardware resources. These functions are written, collected and crafted over 7 years of experience in statistical data analysis on high-dimensional data, and for each of them there was a need. Functions in this package are suppose to be efficient and easy to use, hence they will be frequently updated to make them more convenient.
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2025-04-22 |
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r-import
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This is an alternative mechanism for importing objects from packages. The syntax allows for importing multiple objects from a package with a single command in an expressive way. The import package bridges some of the gap between using library (or require) and direct (single-object) imports. Furthermore the imported objects are not placed in the current environment. It is also possible to import objects from stand-alone .R files. For more information, refer to the package vignette.
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2025-04-22 |
