Authors@R: c(person("Yaohua", "Hu", email = "mayhhu@szu.edu.cn", role = c("aut","cre","cph")),person("Xinlin", "Hu", email = "ramakstt@gmail.com", role = c("trl")))
Description: Approaches a group sparse solution of an underdetermined linear system. It implements the proximal gradient algorithm to solve a lower regularization model of group sparse learning. For details, please refer to the paper "Y. Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via l_{p,q} regularization. Journal of Machine Learning Research, to appear, 2017".
Packaged: 2017-02-20 04:02:36 UTC; Administrator

Title: The Generalized Time-Dependent Logistic Family
Description: Computes the  probability density, survival function,
the hazard rate functions and generates random samples from the
GTDL distribution given by Mackenzie, G. (1996) <doi:10.2307/2348408>.
The likelihood estimates, the randomized quantile (Louzada, F., et al.
residuals and the normally transformed randomized survival
residuals are obtained for the GTDL model.

Description: A nice GUI for financial DErivatives in R.

Title: Implementation of sampling formulas for the unified neutral
model of biodiversity and biogeography, with or without guild
Description: The GUILDS package combines a range of sampling formulas for the unified neutral model of biogeography and biodiversity. Alongside the sampling formulas, it includes methods to perform maximum likelihood optimization of the sampling formulas, methods to generate data given the neutral model, and methods to estimate the expected species abundance distribution. Sampling formulas included in the GUILDS package are the Etienne Sampling Formula (Etienne 2005), the guild sampling formula, where guilds are assumed to differ in dispersal ability (Janzen 2014), and  the guilds sampling formula conditioned on guild size (Janzen 2014).
Imports: Rcpp (>= 0.11.0), pracma, subplex

Title: Implementation of Sampling Formulas for the Unified Neutral
Model of Biodiversity and Biogeography, with or without Guild
Description: The GUILDS package combines a range of sampling formulas for the unified neutral model of biogeography and biodiversity. Alongside the sampling formulas, it includes methods to perform maximum likelihood optimization of the sampling formulas, methods to generate data given the neutral model, and methods to estimate the expected species abundance distribution. Sampling formulas included in the GUILDS package are the Etienne Sampling Formula (Etienne 2005), the guild sampling formula, where guilds are assumed to differ in dispersal ability (Janzen et al. 2015), and  the guilds sampling formula conditioned on guild size (Janzen et al. 2015).