Depends: R (>= 2.0), igraph0 , RBGL , limma
X-CRAN-Comment: Package is broken since a (premilinary announced) API
change in package igraph, although an igraph0 compatibility

Title: Steiner Tree Approach for Graph Analysis
Depends: R (>= 2.0), igraph0, limma, RBGL
Description: A set of graph functions writen in R to find Steiner trees
on graphs. It provides tools for analysing Steiner tree
application on networks. It has applications in biological

Description: A set of graph functions written in R to find Steiner
trees on graphs. It provides tools for analysing Steiner tree

Imports: igraph, limma, RBGL, graph, grDevices, stats, utils, graphics
Description: A set of graph functions to find Steiner

Description: A set of functions for finding and analysing Steiner trees. It has applications in
biological pathway network analysis. Sadeghi (2013) <doi:10.1186/1471-2105-14-144>.
Imports: grDevices, stats, utils, graphics

Description: Estimation of the parameters of a spatio-temporal model
using the EM algorithm, estimation of the parameter standard
errors using a spatio-temporal parametric bootstrap, spatial

Title: Reconstructing Tree Growth and Carbon Accumulation with Stem
Authors@R: c(person("Huili", "Wu", role = c("aut", "cre"), email = "wuhuili0701@163.com"), person("Wenhua", "Xiang", role = "aut"))
Description: Use stem analysis data to reconstructing tree growth and carbon accumulation. Users can independently or in combination perform a number of standard tasks for any tree species.
(ii) The cumulative growth, mean annual increment, and current annual increment of diameter at breast height (DBH) with bark, tree height, and stem volume with bark are estimated.
(iii) Tree biomass and carbon storage estimation from volume and allometric models are calculated.
(iv) Height-diameter relationship is fitted with nonlinear models, if diameter at breast height (DBH) or tree height are available, which can be used to retrieve tree height and diameter at breast height (DBH).

Title: Spatio-Temporal Estimation and Prediction for Censored/Missing
Author: Katherine A. L. Valeriano, Victor H. Lachos and Larissa Avila Matos
Maintainer: Larissa Avila Matos <larissa.amatos@gmail.com>
Description: It estimates the parameters of a censored or missing data in spatio-temporal models using the SAEM algorithm (Delyon et al., 1999 <doi:10.1214/aos/1018031103>). This algorithm is a stochastic approximation of the widely used EM algorithm and an important tool for models in which the E-step does not have an analytic form. Besides the expressions obtained to estimate the parameters to the proposed model, we include the calculations for the observed information matrix using the method developed by Louis (1982) <https://www.jstor.org/stable/2345828>. To examine the performance of the fitted model, case-deletion measure are provided.
Imports: ssym, optimx, Matrix, sp, spTimer, mvtnorm, tmvtnorm,
MCMCglmm, ggplot2, grid, distances, gridExtra