Description: Collection of functions to compute agroclimatic indices useful
to zoning areas based on climatic variables and to evaluate the importance
of temperature and precipitation for individual crops, or in general for
agricultural lands. Some of the indices are adapted from Gladstones (1992, ISBN:1875130128);
Imports: stats, ggplot2, gtable, plyr, zoo, abind, raster, ggpubr,
cowplot, reshape, ggforce, ncdf4, easyNCDF, sp, multiApply,
Author: Roberto Serrano-Notivoli [aut, cre]

Imports: stats, ggplot2, gtable, zoo, abind, raster, ggpubr, cowplot,
reshape, ggforce, ncdf4, easyNCDF, sp, multiApply, tools

Title: Stability Analysis for Agricultural Research
Description: Statistical procedures to perform stability analysis in plant breeding and to identify stable genotypes under diverse environments. It is possible to calculate coefficient of homeostaticity by Khangildin et al. (1979), variance of specific adaptive ability by Kilchevsky&Khotyleva (1989), weighted homeostaticity index by Martynov (1990), steadiness of stability index by Udachin (1990), superiority measure by Lin&Binn (1988) <doi:10.4141/cjps88-018>, regression on environmental index by Erberhart&Rassel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, Tai's (1971) stability parameters <doi:10.2135/cropsci1971.0011183X001100020006x>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, ecovalence by Wricke (1962), nonparametric stability parameters by Nassar&Huehn (1987) <doi:10.2307/2531947>, Francis&Kannenberg's parameters of stability (1978) <doi:10.4141/cjps78-157>.
Imports: ggplot2, dplyr, graphics, stats, rlang

Title: Miscellaneous plotting and utility functions
Description: High-featured panel functions for bwplot and xyplot,
various plot management helpers, some other utility functions
Packaged: Fri May 26 15:33:54 2006; prechelt

Authors@R: c(person("Lutz", "Prechelt", role = c("aut","cre"),
some plot management helpers, various convenience functions

Title: Adaptive and Automatic Gradient Boosting Computations
Maintainer: Berent Ånund Strømnes Lunde <lundeberent@gmail.com>
Description: Fast and automatic gradient tree boosting designed
to avoid manual tuning and cross-validation by utilizing an information
theoretic approach. This makes the algorithm adaptive to the dataset at
hand; it is completely automatic, and with minimal worries of overfitting.
Consequently, the speed-ups relative to state-of-the-art implementations
can be in the thousands while mathematical and technical knowledge required