Imports: nloptr (>= 1.2.1), COMPoissonReg, progress

Imports: nloptr (>= 1.2.1), COMPoissonReg

Author: Simon Schwab <schw4b@gmail.com>, Ruth Harbord <r.harbord@warwick.ac.uk>,
Lilia Costa <liliacosta@ufba.br>, Thomas Nichols <t.e.nichols@warwick.ac.uk>
Dynamic graphical models for multivariate time series data to estimate directed
dynamic networks in functional magnetic resonance imaging (fMRI), see Schwab et al. (2017) <doi:10.1101/198887>.

dynamic networks in functional magnetic resonance imaging (fMRI), see Schwab et

Title: 3D Forest Simulation Visualization Tool
person("Steinkamp", "Joerg", , "steinkamp.joerg@gmail.com", c("aut", "cre"))
Description: This is a visualization tool for vegetation structure/succession
in space and/or time mainly for forest gap models. However, it could also be used to
visualize observed forest stands. If used for models, they should contain either
individual trees or cohorts (e.g. LPJ-GUESS by Smith et al. (2014) <doi:10.5194/bg-11-2027-2014>).
For a list of required and additional data fields see the vignette.
Collate: 'DGVM3D.R' 'classes.R' 'flame.R' 'geometry.R' 'input.R'
Depends: R (>= 2.10), rgl (>= 0.96.0), methods, stats, grDevices,
Suggests: RColorBrewer, knitr, rmarkdown, data.table, ggplot2
Packaged: 2018-03-19 08:45:02 UTC; jsteinkamp

Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
Authors@R: c(person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut", "cre")))
Description: The 'DHARMa' package uses a simulation-based approach to create
readily interpretable scaled (quantile) residuals from fitted generalized linear mixed
models. Currently supported are 'lme4', 'glm' (except quasi-distributions) and 'lm' model
classes. The resulting residuals are standardized to values between 0 and 1 and
can be interpreted as intuitively as residuals from a linear regression. The package
also provides a number of plot and test functions for typical model misspecification
problem, such as over/underdispersion, zero-inflation, and spatial and temporal
Imports: stats, graphics, utils, grDevices, gap, qrnn, lmtest, ape,
sfsmisc, MASS, doParallel, foreach, lme4