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Andrew L. Hipp

dblp:69/7971 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › phylogenetics › evolutionary history reconstruction
ancestral sequence reconstruction		 0.112010
MATICCE: mapping transitions in continuous character evolution · Bioinform. 2010
Bioinformatics and computational biology › phylogenetics
phylogenetic comparative methods		 0.112010
MATICCE: mapping transitions in continuous character evolution · Bioinform. 2010
YearPublicationVenuePosition
2010 MATICCE: mapping transitions in continuous character evolution
abstract
SUMMARY: MATICCE is a new software package in the R language for mapping phylogenetic transitions in organismal traits that have continuous distributions. MATICCE integrates over phylogenetic and model uncertainty and provides simulation functions for visualizing evolutionary scenarios based on estimated parameter values. AVAILABILITY AND IMPLEMENTATION: MATICCE is written in the open source R language and freely available through the Comprehensive R Archive Network (http://cran.r-project.org/web/packages/maticce).
Andrew L. Hipp, Marcial Escudero
 Bioinform.1