Identification of Parental Lines via Genomic Prediction
c(
person("Ping-Yuan", "Chung", email = "r06621204@ntu.edu.tw", role = "cre"),
person("Chen-Tuo", "Liao", email = "ctliao@ntu.edu.tw", role = "aut"))
Combining genomic prediction with Monte Carlo simulation, three different
strategies are implemented to select parental lines for multiple traits in plant
breeding. The selection strategies include (i) GEBV-O considers only genomic
estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O
considers only genomic diversity (GD) of the candidate individuals; and (iii)
GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY,
Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait genomic best
linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate
GEBVs of the target traits, and then a selection index is adopted to evaluate
the composite performance of an individual.
Ping-Yuan Chung [cre],
Chen-Tuo Liao [aut]

Intervention in Prediction Measure (IPM) for Random Forests
Computes IPM for assessing variable importance for random forests. See details at I. Epifanio (2017) <DOI:10.1186/s12859-017-1650-8>.

Functions and Data for the Book 'Integrated Population Models'
c(
person("Michael", "Schaub", role="aut"),
person("Marc", "Kéry", role="aut"),
person("Mike", "Meredith", role=c("aut", "cre"), email="mike@mmeredith.net"),
person("Raphaël", "Arlettaz", role="dtc", comment="bats"),
person("Gabriel", "Banderet", role="dtc", comment="peregrine"),
person("François", "Biollaz", role="dtc", comment="bats"),
person("Radames", "Bionda", role="dtc", comment="grouse"),
person("Thomas", "Bregnballe", role="dtc", comment="cormorant"),
person("Hans", "Jakober", role="dtc", comment="redbacked"),
person("Ioannis", "Ntzoufras", role="ctb"),
person("Luca", "Rotelli", role="dtc", comment="grouse"),
person("Antoine", "Sierro", role="dtc", comment="bats"),
person("Wolfgang", "Stauber", role="dtc", comment="redbacked"),
person("Bruno", "Ullrich", role="dtc", comment="woodchat11"),
person("Fonds Sauvegarde Faune Flore Jurassienne - Groupe Pèlerin Jura", role="dtc", comment="peregrine"),
person("Idaho Department of Fish and Game", role="dtc", comment="elk"),
person("Louisiana Department of Wildlife and Fisheries", role="dtc", comment="bear"),
person("Monitoring Avian Productivity and Survivorship program (MAPS)", role="dtc", comment="catbird"),
person("North American Breeding Bird Survey (BBS)", role="dtc", comment="catbird"),
person("University Bern, Division of Conservation Biology", role="dtc", comment="hoopoe"),
person("Vogelwarte Hiddensee, Germany", role="dtc", comment="stork"),
person("Swiss Ornithological Institute", role="dtc", comment="hoopoe, kestrel, peregrine, swallow, wryneck")  )
Provides functions and data sets to accompany the  book 'Integrated Population Models: Theory and Ecological Applications with R and JAGS' by Michael Schaub and Marc Kéry (ISBN: 9780128205648).
Michael Schaub [aut],
Marc Kéry [aut],
Mike Meredith [aut, cre],
Raphaël Arlettaz [dtc] (bats),
Gabriel Banderet [dtc] (peregrine),
François Biollaz [dtc] (bats),
Radames Bionda [dtc] (grouse),
Thomas Bregnballe [dtc] (cormorant),
Hans Jakober [dtc] (redbacked),
Ioannis Ntzoufras [ctb],
Luca Rotelli [dtc] (grouse),
Antoine Sierro [dtc] (bats),
Wolfgang Stauber [dtc] (redbacked),
Bruno Ullrich [dtc] (woodchat11),
Fonds Sauvegarde Faune Flore Jurassienne - Groupe Pèlerin Jura [dtc]
(peregrine),
Idaho Department of Fish and Game [dtc] (elk),
Louisiana Department of Wildlife and Fisheries [dtc] (bear),
Monitoring Avian Productivity and Survivorship program (MAPS) [dtc]
(catbird),
North American Breeding Bird Survey (BBS) [dtc] (catbird),
University Bern, Division of Conservation Biology [dtc] (hoopoe),
Vogelwarte Hiddensee, Germany [dtc] (stork),
Swiss Ornithological Institute [dtc] (hoopoe, kestrel, peregrine,
swallow, wryneck)