[cgamboasanabria] dCUR 1.0.2

info@cesargamboasanabria.com (Cesar Gamboa-Sanabria) — Mon, 01 Sep 2025 19:16:23 GMT

Dynamic CUR (dCUR) boosts the CUR decomposition (Mahoney MW., Drineas P. (2009) ) varying the k, the number of columns and rows used, and its final purposes to help find the stage, which minimizes the relative error to reduce matrix dimension. The goal of CUR Decomposition is to give a better interpretation of the matrix decomposition employing proper variable selection in the data matrix, in a way that yields a simplified structure. Its origins come from analysis in genetics. The goal of this package is to show an alternative to variable selection (columns) or individuals (rows). The idea proposed consists of adjusting the probability distributions to the leverage scores and selecting the best columns and rows that minimize the reconstruction error of the matrix approximation ||A-CUR||. It also includes a method that recalibrates the relative importance of the leverage scores according to an external variable of the user's interest.

[cgamboasanabria] popstudy 1.0.2

info@cesargamboasanabria.com (Cesar Gamboa-Sanabria) — Mon, 01 Sep 2025 18:27:25 GMT

The use of overparameterization is proposed with combinatorial analysis to test a broader spectrum of possible ARIMA models. In the selection of ARIMA models, the most traditional methods such as correlograms or others, do not usually cover many alternatives to define the number of coefficients to be estimated in the model, which represents an estimation method that is not the best. The popstudy package contains several tools for statistical analysis in demography and time series based in Shryock research (Shryock et. al. (1980) ).

cgamboasanabria.r-universe.dev

[cgamboasanabria] dCUR 1.0.2

[cgamboasanabria] popstudy 1.0.2