Packaged: 2013-09-23 21:29:43 UTC; stevenwalker

Packaged: 2014-03-11 14:11:54 UTC; stevenwalker

Packaged: 2019-02-08 01:17:42 UTC; Steve_Walker

Description: Used for mediation analysis with generalized multilevel models.

Depends: R (>= 2.14.1), lme4, splines, car

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

Description: Do multilevel mediation analysis with generalized additive multilevel models.

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

Description: 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.

Depends: R (>= 2.14.1), lme4, splines, car, abind, coxme
Description: 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.

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

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"))
Description: 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

Title: Multilevel/Mixed Model Helper Functions
Description: A collection of miscellaneous helper function for running multilevel/mixed models in 'lme4'. This package aims to provide functions to compute common tasks when estimating multilevel models such as computing the intraclass correlation and design effect, centering variables, estimating the proportion of variance explained at each level, pseudo-R squared, random intercept and slope reliabilities, tests for homogeneity of variance at level-1, and cluster robust and bootstrap standard errors. The tests and statistics reported in the package are from Raudenbush & Bryk (2002, ISBN:9780761919049), Hox et al. (2018, ISBN:9781138121362), and Snijders & Bosker (2012, ISBN:9781849202015).
Imports: lme4, stats, utils, Rdpack, mathjaxr
Suggests: clubSandwich, testthat (>= 3.0.0), knitr
Author: Louis Rocconi [aut, cre] (<https://orcid.org/0000-0003-0693-0957>),