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Error Tracking and Logging
Reports errors and messages to Rollbar, the error tracking platform < https://rollbar.com>.
Lightweight Logging for R Scripts
Provides flexible but lightweight logging facilities for R scripts. Supports priority levels for logs and messages, flagging messages, capturing script output, switching logs, and logging to files or connections.
Modern Logging for the R Ecosystem
An effortless 'ndjson' (newline-delimited 'JSON') logger, with two primary log-writing interfaces. It provides a set of wrappings for base R's message(), warning(), and stop() functions that maintain identical functionality, but also log the handler message to an 'ndjson' log file. 'loggit' also exports its internal 'loggit()' function for powerful and configurable custom logging. No change in existing code is necessary to use this package, and should only require additions to fully leverage the power of the logging system. 'loggit' also provides a log reader for reading an 'ndjson' log file into a data frame, log rotation, and live echo of the 'ndjson' log messages to terminal 'stdout' for log capture by external systems (like containers). 'loggit' is ideal for Shiny apps, data pipelines, modeling work flows, and more. Please see the vignettes for detailed example use cases.
Flexible and Customisable Logging System
A comprehensive logging framework for R applications that provides hierarchical logging levels, database integration, and contextual logging capabilities. The package supports 'SQLite' storage for persistent logs, provides colour-coded console output for better readability, includes parallel processing support, and implements structured error reporting with 'JSON' formatting.
Web Server Log Analysis
Provides Apache and IIS log analytics for transaction performance, client populations and workload definitions.
Zooarchaeological Analysis with Log-Ratios
Includes functions and reference data to
generate and manipulate log-ratios (also known as log size index (LSI)
values) from measurements obtained on zooarchaeological material. Log
ratios are used to compare the relative (rather than the absolute)
dimensions of animals from archaeological contexts
(Meadow 1999, ISBN: 9783896463883).
zoolog is also able to seamlessly integrate data and references
with heterogeneous nomenclature, which is internally managed by a
zoolog thesaurus.
A preliminary version of the zoolog methods was first used by
Trentacoste, Nieto-Espinet, and Valenzuela-Lamas (2018)
Log-Likelihood Functions for 'rxode2'
Provides the log-likelihoods with gradients from 'stan'
(Carpenter et al (2015),
log Normal Linear Regression
Functions to fits simple linear regression models with log normal errors
and identity link, i.e. taking the responses on the original scale. See
Muggeo (2018)
Generalised log-Linear Model
Routines for log-linear models of incomplete contingency tables,
including some latent class models, via EM and Fisher scoring
approaches. Allows bootstrapping. See Espeland and Hui (1987)
Log-Gaussian Cox Process
Spatial and spatio-temporal modelling of point patterns using the
log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal,
multivariate and aggregated point processes using Markov chain Monte Carlo. See Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2015)