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Log Rotation and Conditional Backups
Conditionally rotate or back-up files based on their size or the date of the last backup; inspired by the 'Linux' utility 'logrotate'.
Record Events and Issues
Logger to keep track of informational events and errors useful for debugging.
Vectorised Tools for URL Handling and Parsing
A toolkit for all URL-handling needs, including encoding and decoding, parsing, parameter extraction and modification. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.
Distributions for Generalized Additive Models for Location Scale and Shape
A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005),
Tools for Analyzing 'ShinyProxy' Containers Logs
Provides functions to parse and analyze logs generated by 'ShinyProxy' containers. It extracts metadata from log file names, reads log contents, and computes summary statistics (such as the total number of lines and lines containing error messages), facilitating efficient monitoring and debugging of 'ShinyProxy' deployments.
Log-Analytic Methods for Multiplicative Effects
Log-analytic methods intended for testing multiplicative effects.
Weighted Tidy Log Odds Ratio
How can we measure how the usage or frequency of some
feature, such as words, differs across some group or set, such as
documents? One option is to use the log odds ratio, but the log odds
ratio alone does not account for sampling variability; we haven't
counted every feature the same number of times so how do we know which
differences are meaningful? Enter the weighted log odds, which
'tidylo' provides an implementation for, using tidy data principles.
In particular, here we use the method outlined in Monroe, Colaresi,
and Quinn (2008)
One-Sample Log-Rank Test
The log-rank test is performed to assess the survival outcomes between two group.
When there is no proper control group or obtaining such data is cumbersome, one sample
log-rank test can be applied. This package performs one sample log-rank test as described in Finkelstein et al. (2003)
Log-Binomial Regression with Constrained Optimization
Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.
Z(log) Transformation for Laboratory Measurements
Transformation of laboratory measurements into z or z(log)-value
based on given or empirical reference limits as proposed in
Hoffmann et al. 2017