india - Influence Diagnostics in Statistical Models
Set of routines for influence diagnostics by using case-deletion in ordinary least squares, nonlinear regression [Ross (1987). <doi:10.2307/3315198>], ridge estimation [Walker and Birch (1988). <doi:10.1080/00401706.1988.10488370>] and least absolute deviations (LAD) regression [Sun and Wei (2004). <doi:10.1016/j.spl.2003.08.018>].
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cooks-distanceleverageslikelihood-displacementoutlier-detectionoutliers
3.18 score 1 stars 500 downloadsL1pack - Routines for L1 Estimation
L1 estimation for linear regression using Barrodale and Roberts' method <doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>. Estimation of mean and covariance matrix using the multivariate Laplace distribution, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>. Implementation of Naik and Plungpongpun <doi:10.1007/0-8176-4487-3_7> for the Generalized spatial median estimator is included.
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envelopegeneralized-spatial-medianl1-regressionlad-regressionlaplace-distributionmultivariate-laplacewilson-hilferty-transformation
6.79 score 6 stars 4 dependents 396 scripts 1.4k downloadsSpatialPack - Tools for Assessment the Association Between Two Spatial Processes
Tools to assess the association between two spatial processes. Currently, several methodologies are implemented: A modified t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, the codispersion coefficient, and an F test for assessing the multiple correlation between one spatial process and several others. Functions for image processing and computing the spatial association between images are also provided. Functions contained in the package are intended to accompany Vallejos, R., Osorio, F., Bevilacqua, M. (2020). Spatial Relationships Between Two Georeferenced Variables: With Applications in R. Springer, Cham <doi:10.1007/978-3-030-56681-4>.
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codispersion-coefficientmodified-t-testspatial-associationspatial-processesssimstructural-similaritytjostheim-coefficient
6.34 score 7 stars 2 dependents 103 scripts 523 downloadsMVT - Estimation and Testing for the Multivariate t-Distribution
Routines to perform estimation and inference under the multivariate t-distribution <doi:10.1007/s10182-022-00468-2>. Currently, the following methodologies are implemented: multivariate mean and covariance estimation, hypothesis testing about equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate generation.
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envelopeequicorrelation-testhomogeneity-testkurtosismultivariate-analysismultivariate-tstudent-t-distributionwilson-hilferty-transformation
3.33 score 43 scripts 307 downloads