Bootstrap Resampling for Mixed Effects and Plain Models
person("Colman", "Humphrey", email = "humphrc@tcd.ie",
role = c("aut", "cre"))
Performs bootstrap resampling for most models that update() works for. There
are two main functions: BootGlmm() performs block resampling if random effects
are present, and case resampling if not; BootCI() converts output from
bootstrap model runs into confidence intervals and p-values. By default,
BootGlmm() calls BootCI().
Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.
glmmTMB (>= 0.2.1), testthat (>= 0.11.0), pbapply (>= 1.3.0),
parallel (>= 3.0.0), knitr, rmarkdown

Performs bootstrap resampling for most models that update() works for. There
are two primary functions: bootstrap_model() performs block resampling if random effects
are present, and case resampling if not; bootstrap_ci() converts output from
bootstrap model runs into confidence intervals and p-values. By default,
bootstrap_model() calls bootstrap_ci().
Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.
glmmTMB (>= 0.2.1), testthat (>= 0.11.0), parallel (>=
3.0.0), future.apply (>= 1.1.0), knitr, rmarkdown, covr

glmmTMB (>= 1.1.0), testthat (>= 0.11.0), parallel (>=
3.0.0), future.apply (>= 1.1.0), knitr, rmarkdown, covr

Generalized Linear Mixed Models with Robust Random Fields for
Spatiotemporal Modeling
c(
person(c("Sean", "C."), "Anderson", email = "sean@seananderson.ca",
role = c("aut", "cre")),
person(c("Eric", "J."), "Ward", role = "aut"),
person("Trustees of", "Columbia University", role = "cph"))
Implements Bayesian spatial and spatiotemporal models that
optionally allow for extreme spatial deviations through time. 'glmmfields'
uses a predictive process approach with random fields implemented through
a multivariate-t distribution instead of the usual multivariate normal.
Sampling is conducted with 'Stan'. References: Anderson and Ward (2018)
<doi:10.1002/ecy.2403>.
rstan (>= 2.16.0), ggplot2 (>= 2.2.0), cluster, dplyr (>=
0.7.0), reshape2, mvtnorm, broom, methods, loo, assertthat,
nlme, forcats, rstanarm
testthat, parallel, bayesplot, knitr, rmarkdown, viridis,
coda
Sean C. Anderson [aut, cre],
Eric J. Ward [aut],
Trustees of Columbia University [cph]