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Statistical tolerance limits provide the limits between which we can expect to find a specified proportion of a sampled population with a given level of confidence. This package provides functions for estimating tolerance limits (intervals) for various univariate distributions (binomial, Cauchy, discrete Pareto, exponential, two-parameter exponential, extreme value, hypergeometric, Laplace, logistic, negative binomial, negative hypergeometric, normal, Pareto, Poisson-Lindley, Poisson, uniform, and Zipf-Mandelbrot), Bayesian normal tolerance limits, multivariate normal tolerance regions, nonparametric tolerance intervals, tolerance bands for regression settings (linear regression, nonlinear regression, nonparametric regression, and multivariate regression), and analysis of variance tolerance intervals. Visualizations are also available for most of these settings.

copied from cf-staging / r-tolerance
Type Size Name Uploaded Downloads Labels
conda 625.4 kB | noarch/r-tolerance-3.0.0-r43hc72bb7e_1.conda  7 months and 22 days ago 692 main
conda 639.2 kB | noarch/r-tolerance-3.0.0-r44hc72bb7e_1.conda  7 months and 22 days ago 679 main
conda 627.1 kB | noarch/r-tolerance-3.0.0-r42hc72bb7e_0.conda  11 months and 1 day ago 822 main
conda 625.9 kB | noarch/r-tolerance-3.0.0-r43hc72bb7e_0.conda  11 months and 1 day ago 838 main

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