person("Katarzyna", "Pekala", role = "aut"))
generic print() and plot() for better usability of selected explainers,
generic plotD3() for interactive, D3 based explanations, and
generic describe() for explanations in natural language.
Suggests: gower, randomForest, xgboost, testthat, r2d3, ggpubr,

Imports: DALEX, ggplot2, scales, gridExtra

person("Adam", "Izdebski", role = "aut"))

partial_dependence() for partial dependence plots,
conditional_dependence() for conditional dependence plots,
accumulated_dependence() for accumulated local effects plots,

Suggests: DALEX, gower, randomForest, testthat, r2d3, jsonlite, knitr,

Imports: ggplot2, scales, gridExtra, methods

person("Adam", "Izdebski", role = "ctb"))
Suggests: DALEX, gower, ranger, testthat, r2d3, jsonlite, knitr,

Maintainer: David Valentim Dias <dvdscripter@gmail.com>
Description: Parse simple '.ini' configuration files to an structured list. Users
can manipulate this resulting list with lapply() functions. This same
structured list can be used to write back to file after modifications.

Description: R dependency injection framework. Dependency injection allows
a program design to follow the dependency inversion principle. The user
delegates to external code (the injector) the responsibility of providing its
dependencies. This separates the responsibilities of use and construction.

Title: Spatial Inference using Integrated Nested Laplace Approximation
Author: Fabian E. Bachl <bachlfab@gmail.com> (main code),
Finn Lindgren <Finn.Lindgren@ed.ac.uk> (SPDE posterior plotting),
David L. Borchers <dlb@st-andrews.ac.uk> (Gorilla data import and sampling, multiplot tool),
Daniel Simpson <dp.simpson@gmail.com> (basic LGCP sampling method),
Lindesay Scott-Hayward <lass@@st-andrews.ac.uk> (MRSea data import)
Maintainer: Fabian E. Bachl <bachlfab@gmail.com>
Description: Facilitates spatial modeling using integrated nested Laplace approximation via the
INLA package (<http://www.r-inla.org>). Additionally, implements a log Gaussian Cox process likelihood for
modeling univariate and spatial point processes based on ecological survey data. See Yuan Yuan,
Fabian E. Bachl, Finn Lindgren, David L. Borchers, Janine B. Illian, Stephen T. Buckland, Havard Rue,
Suggests: testthat, ggmap, rgl, sphereplot, raster, Matrix, dplyr,
maptools, mgcv, shiny, spatstat, spatstat.data, RColorBrewer,
Depends: R (>= 3.3), INLA, sp, stats, methods, ggplot2,