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An Implementation of the Stratification Index
An implementation of the stratification index proposed by Zhou (2012)
Repertoire Dissimilarity Index
Methods for calculation and visualization of the Repertoire
Dissimilarity Index. Citation: Bolen and Rubelt, et al (2017)
Single-Index Models with a Surface-Link
An implementation of a single-index regression for optimizing individualized dose rules from an observational study. To model interaction effects between baseline covariates and a treatment variable defined on a continuum, we employ two-dimensional penalized spline regression on an index-treatment domain, where the index is defined as a linear combination of the covariates (a single-index). An unspecified main effect for the covariates is allowed, which can also be modeled through a parametric model. A unique contribution of this work is in the parsimonious single-index parametrization specifically defined for the interaction effect term. We refer to Park, Petkova, Tarpey, and Ogden (2020)
Pacific Decadal Oscillation Index Data
Monthly Pacific Decadal Oscillation (PDO) index values from January 1900 to September 2018. Superseded by 'rsoi' package which includes the historical and most recent monthly PDO index values together with related climate indices.
Compute Uniform Error Index
Uniform Error Index is the weighted average of different error measures. Uniform Error Index utilizes output from different error function and gives more robust and stable error values. This package has been developed to compute Uniform Error Index from ten different loss function like Error Square, Square of Square Error, Quasi Likelihood Error, LogR-Square, Absolute Error, Absolute Square Error etc. The weights are determined using Principal Component Analysis (PCA) algorithm of Yeasin and Paul (2024)
Robust Effect Size Index (RESI) Estimation
Summarize model output using a robust effect size index. The index is introduced in Vandekar, Tao, & Blume (2020)
Constrained Groupwise Additive Index Models
Fits constrained groupwise additive index models and provides functions for inference and interpretation of these models. The method is described in Masselot, Chebana, Campagna, Lavigne, Ouarda, Gosselin (2022) "Constrained groupwise additive index models"
Calculates the Wavelet-Based Organization Index
Calculates the wavelet-based organization index following Brune et al (2018) (
Analysis of Selection Index in Plant Breeding
The aim of most plant breeding programmes is simultaneous improvement of several characters. An objective method involving simultaneous selection for several attributes then becomes necessary. It has been recognised that most rapid improvements in the economic value is expected from selection applied simultaneously to all the characters which determine the economic value of a plant, and appropriate assigned weights to each character according to their economic importance, heritability and correlations between characters. So the selection for economic value is a complex matter. If the component characters are combined together into an index in such a way that when selection is applied to the index, as if index is the character to be improved, most rapid improvement of economic value is expected. Such an index was first proposed by Smith (1937
Sliding Window Functions
Provides type-stable rolling window functions over any R data type. Cumulative and expanding windows are also supported. For more advanced usage, an index can be used as a secondary vector that defines how sliding windows are to be created.