Imports: Rcpp (>= 0.12.8), methods, Matrix

Description: Efficient algorithm for solving PU (Positive and Unlabelled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2017) <arXiv:1711.08129>.
Imports: Rcpp (>= 0.12.8), methods, Matrix, doParallel, foreach,

Imports: Rcpp (>= 0.12.8), methods, Matrix, doParallel, foreach

Description: Efficient algorithm for solving PU (Positive and Unlabeled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2018) <arXiv:1711.08129>.

Title: Population Viability Analysis with Data Cloning
Description: Likelihood based population viability analysis in the
presence of observation error and missing data.  The package
can be used to fit, compare, predict, and forecast various
Depends: R (>= 2.15.0), methods, dcmle, dclone, stats4

presence of observation error and missing data.
The package can be used to fit, compare, predict,
and forecast various growth model types using data cloning.

Depends: R (>= 2.15.0), dcmle, dclone, stats4

Depends: R (>= 2.15.0), dcmle (>= 0.3-0), dclone, stats4

Author: Thiago Santos, Jose Alexandre Diniz-Filho, Thiago Rangel e Luis
Depends: R (>= 2.14.0), ape, splancs, methods
Description: Computes Phylogenetic eigenVectors Regression and
Phylogentic Signal-Representation curve (with null and neutral

Title: Computes phylogenetic eigenvectors regression (PVR) and
phylogenetic signal-representation curve (PSR) (with null and

Title: Computes Phylogenetic eigenVectors Regression and Phylogentic
Signal-Representation curve (with null and Brownian

Title: Phylogenetic Eigenvectors Regression and Phylogentic
Description: Estimates (and controls for) phylogenetic signal through phylogenetic eigenvectors regression (PVR) and phylogenetic signal-representation (PSR) curve, along with some plot utilities.
Imports: splancs, ape, methods, graphics, stats, utils, MASS