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  2. R-matrix - Wikipedia

    en.wikipedia.org/wiki/R-matrix

    The term R-matrix has several meanings, depending on the field of study.. The term R-matrix is used in connection with the Yang–Baxter equation, first introduced in the field of statistical mechanics in the works of J. B. McGuire in 1964 [1] and C. N. Yang in 1967 [2] and in the group algebra [] of the symmetric group in the work of A. A. Jucys in 1966.

  3. Newey–West estimator - Wikipedia

    en.wikipedia.org/wiki/Newey–West_estimator

    In Julia, the CovarianceMatrices.jl package [11] supports several types of heteroskedasticity and autocorrelation consistent covariance matrix estimation including Newey–West, White, and Arellano. In R, the packages sandwich [6] and plm [12] include a function for the Newey–West estimator.

  4. R package - Wikipedia

    en.wikipedia.org/wiki/R_package

    The group of packages strives to provide a cohesive collection of functions to deal with common data science tasks, including data import, cleaning, transformation and visualisation (notably with the ggplot2 package). The R Infrastructure packages [31] support coding and the development of R packages and as of 2021-05-04, Metacran [17] lists 16 ...

  5. Matrix ring - Wikipedia

    en.wikipedia.org/wiki/Matrix_ring

    A subring of a matrix ring is again a matrix ring. Over a rng, one can form matrix rngs. When R is a commutative ring, the matrix ring M n (R) is an associative algebra over R, and may be called a matrix algebra. In this setting, if M is a matrix and r is in R, then the matrix rM is the matrix M with each of its entries multiplied by r.

  6. Matrix completion - Wikipedia

    en.wikipedia.org/wiki/Matrix_completion

    The high rank matrix completion in general is NP-Hard. However, with certain assumptions, some incomplete high rank matrix or even full rank matrix can be completed. Eriksson, Balzano and Nowak [10] have considered the problem of completing a matrix with the assumption that the columns of the matrix belong to a union of multiple low-rank subspaces.

  7. Tidyverse - Wikipedia

    en.wikipedia.org/wiki/Tidyverse

    Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3] [4] [5] As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages. [6] The tidyverse is the subject of multiple books and papers.

  8. Square root of a 2 by 2 matrix - Wikipedia

    en.wikipedia.org/wiki/Square_root_of_a_2_by_2_matrix

    Square roots that are not the all-zeros matrix come in pairs: if R is a square root of M, then −R is also a square root of M, since (−R)(−R) = (−1)(−1)(RR) = R 2 = M. A 2×2 matrix with two distinct nonzero eigenvalues has four square roots. A positive-definite matrix has precisely one positive-definite square root.

  9. UK Molecular R-matrix Codes - Wikipedia

    en.wikipedia.org/wiki/UK_Molecular_R-matrix_Codes

    The CCPQ and CCP2 have supported various incarnations of the UK Molecular R-matrix project for almost 40 years. [clarification needed] The UK Molecular R-Matrix Group is actually a subgroup of CCP2, and their codes are maintained by Professor Jonathan Tennyson and his group of researchers. Advances in research have shown that the UK Molecular R ...