Imports: gdata, shapes, e1071, pcaMethods, MASS, miscTools, stats, rgl

Imports: gdata, shapes, e1071, pcaMethods, MASS, miscTools, stats, rgl,

Title: Detecting New Signals under Background Mismodelling
Author: Sara Algeri <salgeri@umn.edu>, Haoran Liu<liu00728@umn.edu>
Description: Given a postulated model and a set of data, the comparison density is estimated and the deviance test is implemented in order to assess if the data distribution deviates significantly from the postulated model. Finally, the results are summarized in a CD-plot as described in Algeri S. (2019) <arXiv:1906.06615>.

Description: Fitting multivariate data patterns with local principal
curves; including simple tools for data compression
(projection), bandwidth selection, and measuring

Description: Fitting multivariate data patterns with local principal curves; including simple tools for data compression (projection), bandwidth selection, and measuring goodness-of-fit.

Description: Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering.

Title: Land Productivity Dynamics Indicator
person("Xavier", "Rotllan-Puig", email = "xavier.rotllan.puig@aster-projects.cat", role = c("aut", "cre")),
person("Eva", "Ivits", email = "", role = c("aut")),
person("Michael", "Cherlet", email = "", role = c("aut")))
Description: It uses 'phenological' and productivity-related variables derived from time series of vegetation
indexes, such as the Normalized Difference Vegetation Index, to assess ecosystem dynamics and change, which
eventually might drive to land degradation. The final result of the Land Productivity Dynamics indicator
is a categorical map with 5 classes of land productivity dynamics, ranging from declining to increasing
productivity. See <https://github.com/xavi-rp/LPD/blob/master/ATBD/LPD_ATBD.pdf> for a description of the
methods used in the package to calculate the indicator.
Imports: raster, dplyr, stats, data.table, virtualspecies, magrittr,