c(person(given = "Juho",
family = "Timonen",
role = c("aut", "cre"),
email = "juho.timonen@iki.fi",
comment = c(ORCID = "0000-0003-2341-6765"))
)
Interpretable nonparametric modeling of longitudinal data
using additive Gaussian process regression. Contains functionality
for inferring covariate effects and assessing covariate relevances.
Models are specified using a convenient formula syntax, and can include
shared, group-specific, non-stationary, heterogeneous and temporally
uncertain effects. Bayesian inference for model parameters is performed
using Stan. The modeling approach and methods are described in detail in
Timonen et al. (2021) <doi:10.1093/bioinformatics/btab021>.

Interpretable nonparametric modeling of longitudinal data
using additive Gaussian process regression. Contains functionality
for inferring covariate effects and assessing covariate relevances.
Models are specified using a convenient formula syntax, and can include
shared, group-specific, non-stationary, heterogeneous and temporally
uncertain effects. Bayesian inference for model parameters is performed
using 'Stan'. The modeling approach and methods are described in detail in
Timonen et al. (2021) <doi:10.1093/bioinformatics/btab021>.

A flexible, feature-rich yet light-weight logging
framework based on 'R6' classes. It supports hierarchical loggers,
custom log levels, arbitrary data fields in log events, logging to
plaintext, 'JSON', memory buffers, and databases, as well as email and
push notifications. For a full list of features with examples please
refer to the package vignette.
covr, crayon, data.table, DBI, desc, future, future.apply,
glue, gmailr, jsonlite, knitr, RMariaDB, rmarkdown, RMySQL,
RPostgres, RPostgreSQL, RPushbullet, RSQLite (>= 2.0),
sendmailR, testthat, tibble, tools, utils, whoami
'Filterable.R' 'utils-sfmisc.R' 'utils.R' 'Appender.R'
'Filter.R' 'log_levels.R' 'print_LogEvent.R' 'Layout.R'
'LogEvent.R' 'Logger.R' 'default_functions.R' 'lgr-package.R'
'print_Logger.R' 'read_json_log.R' 'simple_logging.R'
'use_logger.R' 'utils-formatting.R' 'utils-logging.R'
'utils-rd.R'