Loglinear Models in Capture-Recapture Experiments
Sophie Baillargeon <sbaillar@mat.ulaval.ca> and Louis-Paul Rivest <lpr@mat.ulaval.ca>
Estimation of abundance and other demographic parameters
for closed populations, open populations and the robust design
in capture-recapture experiments using loglinear models.
Wed May  2 13:48:52 2007; Sophie Baillargeon

Sophie Baillargeon <Sophie.Baillargeon@mat.ulaval.ca> and Louis-Paul Rivest <Louis-Paul.Rivest@mat.ulaval.ca>
Mon Jan 28 17:14:18 2008; Sophie Baillargeon

Loglinear Models for Capture-Recapture Experiments
Sophie Baillargeon <Sophie.Baillargeon@mat.ulaval.ca> and
Louis-Paul Rivest <Louis-Paul.Rivest@mat.ulaval.ca>
2009-04-28 16:27:55 UTC; Sophie Baillargeon

2012-03-28 17:46:12 UTC; Sophie Baillargeon

2012-05-30 19:15:25 UTC; Sophie Baillargeon

Louis-Paul Rivest and Sophie Baillargeon
Estimation of abundance and other of demographic parameters for closed
populations, open populations and the robust design in capture-recapture experiments
using loglinear models.
2014-08-28 18:37:46 UTC; Sophie Baillargeon

c(person("Louis-Paul", "Rivest", role = c("aut", "cre"),
email = "Louis-Paul.Rivest@mat.ulaval.ca"),
person("Sophie", "Baillargeon", role = "aut"))
Estimation of abundance and other demographic parameters for closed
populations, open populations and the robust design in capture-recapture
experiments using loglinear models.
Louis-Paul Rivest [aut, cre],
Sophie Baillargeon [aut]

Calculation of 22 CAnonical Time-Series CHaracteristics
c(
person("Trent", "Henderson", email = "then6675@uni.sydney.edu.au", role = c("cre", "aut")),
person("Carl", "Lubba", email = "c.lubba15@imperial.ac.uk", role = c("ctb"))
)
Calculate 22 summary statistics coded in C on time-series vectors to enable
pattern detection, classification, and regression applications in the
feature space as proposed by Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.
Trent Henderson [cre, aut],
Carl Lubba [ctb]

knitr, markdown, rmarkdown, testthat (>= 3.0.0)

Microscopy Based Citometry Data Analysis Package
R (>= 2.10.0), stats, reshape, plyr (>= 1.6), ggplot2, Hmisc
Provides functions to load, filter and visualize microscopy based citometry data