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tlamadon / packages

Package Name Access Summary Updated
r-smfe public What the package does (one paragraph). 2023-06-18
r-rmutil public A toolkit of functions for nonlinear regression and repeated measurements not to be used by itself but called by other Lindsey packages such as 'gnlm', 'stable', 'growth', 'repeated', and 'event' (available at <http://www.commanster.eu/rcode.html>). 2023-06-18
r-lfe public Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction. 2023-06-18
r-factoclass public Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statistique Exploratoire Multidimensionnelle, Dunod, Paris. In order to permit to have different weights of the elements to be clustered, the function 'kmeansW', programmed in C++, is included. It is a modification of 'kmeans'. Some graphical functions include the option: 'gg=FALSE'. When 'gg=TRUE', they use the 'ggplot2' and 'ggrepel' packages to avoid the super-position of the labels. 2023-06-16
pytwoway public Estimate two way fixed effect labor models 2023-06-16
bipartitepandas public Python tools for bipartite labor data 2023-06-16
qpsolvers public Quadratic Programming solvers for Python with a unified API 2023-06-16
quadprog public Quadratic Programming Solver 2023-06-16

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