Provides spatially balanced designs from a set of (contiguous) potential sampling locations in a study region for point-based and for transect-based surveys. Accommodates, without detrimental effects on spatial balance, sites that the researcher wishes to include in the survey for reasons other than the current randomisation (legacy sites).

mgcv, geometry, randtoolbox, mvtnorm, stats, class, parallel,
raster

Over 20 multiple-site diversity indices can be calculated.
Later versions will include phylogenetic diversity

c(person("Hugo", "Pedder", email = "hugopedder@gmail.com", role = c("aut", "cre")),
person("David", "Mawdsley", role = c("rev")),
person("Nicky", "Welton", role = c("rev")),
person("Sofia", "Dias", role = c("rev")),
person("Meg", "Bennetts", role = c("rev")),
person("Martin", "Boucher", role = c("rev")),
person("Adil", "Karim", role = c("ctb")))
Fits Bayesian dose-response model-based network meta-analysis (MBNMA)
that incorporate multiple doses within an agent by modelling different dose-response functions, as
described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>.
By modelling dose-response relationships this can connect networks of evidence that might
otherwise be disconnected, and can improve precision on treatment estimates. Several common
dose-response functions are provided; others may be added by the user. Various characteristics
and assumptions can be flexibly added to the models, such as shared class effects. The consistency
of direct and indirect evidence in the network can be assessed using unrelated mean effects models
and/or by node-splitting at the treatment level.
grDevices, stats, graphics, utils, scales, dplyr (>= 0.7.4),
R2jags (>= 0.5-7), rjags (>= 4-8), magrittr (>= 1.5), checkmate
(>= 1.8.5), Rdpack (>= 0.11-0), reshape2 (>= 1.4.3)
overlapping (>= 1.5.0), ggplot2 (>= 2.2.1), igraph (>=
1.1.2), RColorBrewer (>= 1.1-2), mcmcplots (>= 0.4.3), testthat
(>= 1.0.2), knitr, rmarkdown
Hugo Pedder [aut, cre],
David Mawdsley [rev],
Nicky Welton [rev],
Sofia Dias [rev],
Meg Bennetts [rev],
Martin Boucher [rev],
Adil Karim [ctb]