RRPP (Q81068)

From MaRDI portal
Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Language Label Description Also known as
English
RRPP
Linear Model Evaluation with Randomized Residuals in a Permutation Procedure

    Statements

    0 references
    1.3.1
    12 September 2022
    0 references
    0.1.0
    22 January 2018
    0 references
    0.2.0
    22 April 2018
    0 references
    0.3.0
    23 July 2018
    0 references
    0.4.0
    24 March 2019
    0 references
    0.4.1
    2 April 2019
    0 references
    0.4.2
    19 May 2019
    0 references
    0.4.3
    7 October 2019
    0 references
    0.5.0
    19 December 2019
    0 references
    0.5.1
    19 January 2020
    0 references
    0.5.2
    26 January 2020
    0 references
    0.6.0
    28 May 2020
    0 references
    0.6.1
    24 June 2020
    0 references
    0.6.2
    11 January 2021
    0 references
    1.0.0
    30 March 2021
    0 references
    1.1.0
    9 October 2021
    0 references
    1.1.1
    24 October 2021
    0 references
    1.1.2
    4 November 2021
    0 references
    1.2.1
    1 March 2022
    0 references
    1.2.2
    10 March 2022
    0 references
    1.2.3
    19 March 2022
    0 references
    1.3.0
    21 June 2022
    0 references
    1.4.0
    15 August 2023
    0 references
    2.0.0
    6 February 2024
    0 references
    0 references
    6 February 2024
    0 references
    Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This packaged is described by Collyer & Adams (2018). Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
    0 references
    0 references
    0 references
    0 references
    0 references
    0 references
    0 references

    Identifiers

    0 references