Imports: Matrix , Iso(>= 0.0-5), splines, fda

nonparametric additive logistic regression over covariates.

Description: This package implements methods for hierarchical semiparametric regression models for test statistics. Specifically, test statistics given the null/alternative hypotheses are modeled parametrically, whereas the unobservable status of null/alternative hypotheses are modeled using nonparametric additive logistic regression over covariates.

Imports: Matrix , Iso(>= 0.0-5), splines, fda, stats, graphics, methods
Description: Methods for hierarchical semiparametric regression models for test statistics are implemented in this package. Specifically, test statistics given the null/alternative hypotheses are modeled parametrically, whereas the unobservable status of null/alternative hypotheses are modeled using nonparametric additive logistic regression over covariates.

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character distribution to test for hidden shifts in trait dependent rates of diversification.
Packaged: 2015-02-19 17:57:53 UTC; jbeaulieu

Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification.
Packaged: 2015-06-16 19:05:49 UTC; jbeaulieu

Depends: ape, deSolve, GenSA, subplex, data.table
Packaged: 2015-09-25 02:48:45 UTC; jeremybeaulieu

Packaged: 2015-10-02 23:27:21 UTC; jeremybeaulieu

Packaged: 2016-01-06 21:10:49 UTC; jeremybeaulieu

Packaged: 2016-03-19 11:37:20 UTC; jeremybeaulieu

Packaged: 2016-03-30 02:12:02 UTC; jeremybeaulieu

Depends: ape, deSolve, GenSA, subplex, nloptr
Imports: parallel, phytools, data.table, methods
Packaged: 2016-06-13 17:27:00 UTC; jbeaulieu

Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.