Title: Regions of Common Profiles Modelling with Mixtures-of-Experts
Imports: glmnet, fishMod, MASS, gtools, parallel, stats, graphics
Description: Identifies regions of common (species) profiles (RCPs), possibly when sampling artefacts are present.  Within a region the probability of sampling all species remains approximately constant.  This is performed using mixtures-of-experts models.  The package also contains associated methods, such as diagnostics.

Imports: glmnet (>= 2.0-13), fishMod, MASS, gtools, parallel, stats,

Imports: gtools, glmnet (>= 2.0-13), fishMod, MASS, parallel, stats,

Description: Identifies regions of common (species) profiles (RCPs), possibly when sampling artefacts are present.  Within a region the probability of sampling all species remains approximately constant.  This is performed using mixtures-of-experts models.  The package also contains associated methods, such as diagnostics. Details of the method can be found in Foster et al (2013) <doi:10.1002/env.2245> and Foster et al. (2017) <doi:10.1111/rssc.12211>.

Title: An Integrated Regression Model for Normalizing 'NanoString
Description: 'NanoString nCounter' is a medium-throughput platform that measures gene or microRNA expression levels. Here is a publication that introduces this platform: Malkov (2009) <doi:10.1186/1756-0500-2-80>. Here is the webpage of 'NanoString nCounter' where you can find detailed information about this platform <https://www.nanostring.com/scientific-content/technology-overview/ncounter-technology>. It has great clinical application, such as diagnosis and prognosis of cancer. Implements integrated system of random-coefficient hierarchical regression model to normalize data from 'NanoString nCounter' platform so that noise from various sources can be removed.

Title: Airborne LiDAR Filtering Method Based on Cloth Simulation
person("Jean-Romain", "Roussel", email = "jean-romain.roussel.1@ulaval.ca", role = c("aut", "cre", "cph")),
person("Jianbo", "Qi", email = "jianboqi@gmail.com", role = c("aut", "cph")),
person("Wuming", "Zhang", email = "", role = c("cph")),
person("Peng", "Wan", email = "", role = c( "cph")),
person("Hongtao", "Wang", email = "", role = c("cph")),
person("State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Beijing Normal University", role = c("cph")))
Description: Cloth Simulation Filter (CSF) is an airborne LiDAR (Light Detection and Ranging) ground
points filtering algorithm  which is based on cloth simulation. It tries to simulate the interactions
between the cloth nodes and the corresponding LiDAR points, the locations of the cloth nodes can be
determined to generate an approximation of the ground surface.
Author: Jean-Romain Roussel [aut, cre, cph],
State Key Laboratory of Remote Sensing Science, Institute of Remote
Sensing Science and Engineering, Beijing Normal University [cph]