NSM3: Functions and Datasets for Nonparametric Statistical Methods
by Grant Schneider
Available on 1 platform
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Description
An R package designed to replace statistical tables from the first two editions of the textbook 'Nonparametric Statistical Methods' by Hollander, Wolfe, and Chicken. The package provides functions to perform exact, Monte Carlo, or asymptotic nonparametric procedures, with wrappers for base R functions to standardize output. It was authored by Grant Schneider.
Use Cases
Perform exact nonparametric hypothesis tests based on the described computational procedures.
Run Monte Carlo simulations for statistical inference based on the described methods.
Apply asymptotic approximations for nonparametric procedures based on the described methods.
Standardize output from various nonparametric tests using the described wrapper functions.
Strengths
Provides implementations for procedures from a well-known statistical textbook.
Standardizes output format across different types of nonparametric procedures.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
Grant Schneider
Collection Method
Created as an R package to accompany a textbook.
Time Range
Third edition of the referenced textbook.
Freshness
Last update date is unknown; freshness unverified.