Showing 11 of total 11 results (show query)
kbroman
broman:Karl Broman's R Code
Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.
Maintained by Karl W Broman. Last updated 11 months ago.
183 stars 8.80 score 648 scripts 1 dependents
ozancinar
poolr:Methods for Pooling P-Values from (Dependent) Tests
Functions for pooling/combining the results (i.e., p-values) from (dependent) hypothesis tests. Included are Fisher's method, Stouffer's method, the inverse chi-square method, the Bonferroni method, Tippett's method, and the binomial test. Each method can be adjusted based on an estimate of the effective number of tests or using empirically derived null distribution using pseudo replicates. For Fisher's, Stouffer's, and the inverse chi-square method, direct generalizations based on multivariate theory are also available (leading to Brown's method, Strube's method, and the generalized inverse chi-square method). An introduction can be found in Cinar and Viechtbauer (2022) <doi:10.18637/jss.v101.i01>.
Maintained by Ozan Cinar. Last updated 16 days ago.
12 stars 6.32 score 145 scripts 1 dependents
jacekbialek
PriceIndices:Calculating Bilateral and Multilateral Price Indexes
Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Maintained by Jacek Białek. Last updated 2 months ago.
11 stars 6.02 score 16 scripts
mharinga
insurancerating:Analytic Insurance Rating Techniques
Functions to build, evaluate, and visualize insurance rating models. It simplifies the process of modeling premiums, and allows to analyze insurance risk factors effectively. The package employs a data-driven strategy for constructing insurance tariff classes, drawing on the work of Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.
Maintained by Martin Haringa. Last updated 5 months ago.
actuarialactuarial-scienceinsurancepricing
70 stars 5.89 score 28 scripts
vpnagraj
twoxtwo:Work with Two-by-Two Tables
A collection of functions for data analysis with two-by-two contingency tables. The package provides tools to compute measures of effect (odds ratio, risk ratio, and risk difference), calculate impact numbers and attributable fractions, and perform hypothesis testing. Statistical analysis methods are oriented towards epidemiological investigation of relationships between exposures and outcomes.
Maintained by VP Nagraj. Last updated 3 years ago.
2 stars 4.68 score 12 scripts
eurostat
hicp:Harmonised Index of Consumer Prices
The Harmonised Index of Consumer Prices (HICP) is the key economic figure to measure inflation in the euro area. The methodology underlying the HICP is documented in the HICP Methodological Manual (<https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/w/ks-gq-24-003>). Based on the manual, this package provides functions to access and work with HICP data from Eurostat's public database (<https://ec.europa.eu/eurostat/data/database>).
Maintained by Sebastian Weinand. Last updated 8 months ago.
consumer-price-indexinflationpricesstatistics
2 stars 4.48 score 6 scripts
sweinand
pricelevels:Spatial Price Level Comparisons
Price comparisons within or between countries provide an overall measure of the relative difference in prices, often denoted as price levels. This package provides index number methods for such price comparisons (e.g., The World Bank, 2011, <doi:10.1596/978-0-8213-9728-2>). Moreover, it contains functions for sampling and characterizing price data.
Maintained by Sebastian Weinand. Last updated 10 months ago.
index-numbersprice-comparisonspatial-analysis
4.30 score 2 scripts
lynnyi
aggregation:p-Value Aggregation Methods
Contains functionality for performing the following methods of p-value aggregation: Fisher's method [Fisher, RA (1932, ISBN: 9780028447308)], the Lancaster method (weighted Fisher's method) [Lancaster, HO (1961, <doi:10.1111/j.1467-842X.1961.tb00058.x>)], and Sidak correction [Sidak, Z (1967, <doi:10.1080/01621459.1967.10482935>)]. Please cite Yi et al., the manuscript corresponding to this package [Yi, L et al., (2017), <doi:10.1101/190199>].
Maintained by Lynn Yi. Last updated 7 years ago.
3.51 score 36 scripts 6 dependents
andriyprotsak5
UAHDataScienceSF:Interactive Statistical Learning Functions
An educational toolkit for learning statistical concepts through interactive exploration. Provides functions for basic statistics (mean, variance, etc.) and probability distributions with step-by-step explanations and interactive learning modes. Each function can be used for simple calculations, detailed learning with explanations, or interactive practice with feedback.
Maintained by Andriy Protsak Protsak. Last updated 1 months ago.
3.30 score
cran
permutest:Run Permutation Tests and Construct Associated Confidence Intervals
Implements permutation tests for any test statistic and randomization scheme and constructs associated confidence intervals as described in Glazer and Stark (2024) <doi:10.48550/arXiv.2405.05238>.
Maintained by Amanda Glazer. Last updated 6 months ago.
1.70 score
