futile.logger, knitr, lgr, logger, logging, microbenchmark,
rmarkdown, testthat

A Fast and Lightweight Logging System for R, Based on 'log4j'

futile.logger, httr, jsonlite, knitr, lgr, logger, logging,
loggit, microbenchmark, rlog, rmarkdown, rsyslog, testthat

Computing Log-Transformed Kernel Density Estimates for Positive
Data
Hien D. Nguyen, Andrew T. Jones, and Geoffrey J. McLachlan
Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods
described in Jones, Nguyen and McLachlan (2018) <arXiv:1804.08365>.

Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <doi:10.21105/joss.00870>.

c(person(given = c("Vito","M.","R."), family = "Muggeo", role =
c("aut", "cre"),
email = "vito.muggeo@unipa.it", comment=c(ORCID="0000-0002-3386-4054")))
Vito M. R. Muggeo <vito.muggeo@unipa.it>
Functions to fits simple linear regression models with log normal errors
and identity link (taking the responses on the original scale). See
Muggeo (2018) <doi:10.13140/RG.2.2.18118.16965>.

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) <doi:10.13140/RG.2.2.18118.16965>.

Natural Logarithms of the Gamma Function for Large Values
Uses approximations to compute the natural logarithm of the Gamma
function for large values.

Relative Risk Regression Using the Log Binomial Model
Methods for fitting log-link GLMs and GAMs for binomial data.
The package uses EM-type algorithms with more stable convergence properties than standard methods.

Relative Risk Regression Using the Log-Binomial Model
Methods for fitting log-link GLMs and GAMs to binomial data,
using EM-type algorithms with more stable convergence properties than standard methods.

Methods for fitting log-link GLMs and GAMs to binomial data,
including EM-type algorithms with more stable convergence properties than standard methods.
c(person("Mark W.", "Donoghoe", email = "markdonoghoe@gmail.com", rol = c("aut","cre")),
person("Ian C.", "Marschner", rol = "ths"),
person("Alexandra C.", "Gillett", rol = "ctb", comment = "wrote an initial version of the nplbin function"))
Mark W. Donoghoe [aut, cre],
Ian C. Marschner [ths],
Alexandra C. Gillett [ctb] (wrote an initial version of the nplbin
function)