Artifacts using utils version 0.8.2209

Stats
Last Release on Nov 11, 2020
Datasets
Last Release on Aug 28, 2020
Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Last Release on Feb 14, 2021
Functions that are needed by many other packages or which replace R functions.
Last Release on Feb 14, 2021
Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
Last Release on Feb 13, 2021
Data analysis, linear models and differential expression for microarray data.
Last Release on Feb 16, 2021
Model-robust standard error estimators for cross-sectional, time series, clustered, panel, and longitudinal data.
Last Release on Feb 16, 2021
Various R programming tools for data manipulation, including: - medical unit conversions ('ConvertMedUnits', 'MedUnits'), - combining objects ('bindData', 'cbindX', 'combine', 'interleave'), - character vector operations ('centerText', 'startsWith', 'trim'), - factor manipulation ('levels', 'reorder.factor', 'mapLevels'), - obtaining information about R objects ('object.size', 'elem', 'env', 'humanReadable', 'is.what', 'll', 'keep', 'ls.funs', 'Args','nPairs', 'nobs'), - manipulating MS-Excel formatted ...
Last Release on Feb 16, 2021
A collection of tests, data sets, and examples for diagnostic checking in linear regression models. Furthermore, some generic tools for inference in parametric models are provided.
Last Release on Feb 13, 2021
This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Various plots are automatically generated, allowing one to make sensible significance cut-offs. Several ...
Last Release on Apr 28, 2022