Provides an R API wrapper for 'mljar.com', a web service allowing for on-line training for machine learning models (see <https://mljar.com> for more information).

Examples from Multilevel Modelling Software Review
Data and examples from a multilevel modelling software review

Data and examples from a multilevel modelling software review
as well as other well-known data sets from the multilevel modelling
literature.

Data and examples from a multilevel modelling software
review as well as other well-known data sets from the
multilevel modelling literature.

Douglas Bates <bates@stat.wisc.edu>,
Martin Maechler <maechler@R-project.org> and
Ben Bolker <bolker@mcmaster.ca>

Used for mediation analysis with generalized multilevel models.

R (>= 2.14.1), lme4, splines, car, gplots
Do a multilevel mediation analysis with generalized additive multilevel models.

Do multilevel mediation analysis with generalized additive multilevel models.

R (>= 2.14.1), lme4, splines, car, gplots, abind

Do multilevel mediation analysis with generalized additive multilevel models. The analysis method is described in Yu and Li (2020), "Third-Variable Effect Analysis with Multilevel Additive Models", submitted.

R (>= 2.14.1), lme4, splines, car, abind, coxme
Do multilevel mediation analysis with generalized additive multilevel models. The analysis method is described in Yu and Li (2020), "Third-Variable Effect Analysis with Multilevel Additive Models", PLoS ONE 15(10): e0241072.

R (>= 2.14.1), lme4, car, abind, coxme, gplots

c(
person("Louis", "Aslett", email = "aslett@stats.ox.ac.uk", role = c("cre", "aut", "trl")),
person("Mike", "Giles", email = "Mike.Giles@maths.ox.ac.uk", role = "ctb"),
person("Tigran", "Nagapetyan", email = "nagapetyan@stats.ox.ac.uk", role = "ctb"),
person("Sebastian", "Vollmer", email = "vollmer@stats.ox.ac.uk", role = "ctb"))
An implementation of Multi-level Monte Carlo for R.  This package
builds on the original 'Matlab' and C++ implementations by Mike Giles to provide
a full MLMC driver and example level samplers.  Multi-core parallel sampling
of levels is provided built-in.
Louis Aslett [cre, aut, trl],
Mike Giles [ctb],
Tigran Nagapetyan [ctb],
Sebastian Vollmer [ctb]