Bastiaan Quast

Bastiaan Quast

12 packages on CRAN

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Visual interface for loading datasets in RStudio from all installed (unloaded) packages.

sigmoid

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Several different sigmoid functions are implemented, including a wrapper function, SoftMax preprocessing and inverse functions.

rnn

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Implementation of a Recurrent Neural Network in R.

rddtools

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Set of functions for Regression Discontinuity Design ('RDD'), for data visualisation, estimation and testing.

decompr

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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.").

diagonals

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Several tools for handling block-matrix diagonals and similar constructs are implemented. Block-diagonal matrices can be extracted or removed using two small functions implemented here. In addition, non-square matrices are supported. Block diagonal matrices occur when two dimensions of a data set are combined along one edge of a matrix. For example, trade-flow data in the 'decompr' and 'gvc' packages have each country-industry combination occur along both edges of the matrix.

gvc

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Several tools for Global Value Chain ('GVC') analysis are implemented.

learNN

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Implementations of several basic neural network concepts in R, as based on posts on \url{http://qua.st/}.

wiod

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Data sets from the World Input Output Database, for the years 1995-2011.

bookdown

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Output formats and utilities for authoring books and technical documents with R Markdown.

rticles

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A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.

rddapp

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Estimation of both single- and multiple-assignment Regression Discontinuity Designs (RDDs). Provides both parametric (global) and non-parametric (local) estimation choices for both sharp and fuzzy designs, along with power analysis and assumption checks. Introductions to the underlying logic and analysis of RDDs are in Thistlethwaite, D. L., Campbell, D. T. (1960) <doi:10.1037/h0044319> and Lee, D. S., Lemieux, T. (2010) <doi:10.1257/jel.48.2.281>.