intRvals calculates means and variances of arrival intervals (and arrival rates) corrected for missed arrival observations, and compares means and variances of groups of interval data.
The central function of package intRvals is
estinterval, which is used to estimate the
mean arrival interval (and its standard deviation) from interval
data with missed arrivals. This is
achieved by fitting the theoretical probability density
intervalpdf to the interval data
The package can be used to analyse general interval data where intervals are derived from distinct arrival observations. For example, the authors have used it to analyze dropping intervals of grazing geese for estimating their faecal output.
Intervals are defined as the time between observed arrival events (e.g. the time between one excreted droppings to the next) The package provides a way of taking into account missed observations (e.g. defecations), which lead to occasional observed intervals at integer multiples of the true arrival interval.
Fit interval model
m to an interval dataset
estinterval, as in
Visually inspect model fits using
plot.intRvals, as in
anova.intRvals to check whether the missed event probability was signficantly different from zero, as in
anova.intRvals to perform model selection between competing models
m2 for the same interval dataset
d, as in
Compare means and variances between different interval datasets
fold provides functionality to fold observed intervals back to their fundamental interval
fundamental tests which intervals are fundamental, i.e. intervals not containing a missed arrival observation
interval2rate converts interval estimates to rates
partition estimates and tests for the presence of within-subject variation
intervalsim simulates a set of observed intervals
The package comes with a example interval dataset
Please cite this package using the publication "Analysing time-ordered event data with missed observations, Ecology and Evolution, 2017" by Dokter et al.
Dokter, A.M., van Loon, E.E., Fokkema, W., Lameris, T.K, , Nolet, B.A. and van der Jeugd, H.P. 2017. Analysing time-ordered event data with missed observations, Ecology and Evolution, 2017, in press.
B\'edard, J. & Gauthier, G. 1986. Assessment of faecal output in geese. Journal of Applied Ecology, 23, 77-90.
Owen, M. 1971. The Selection of Feeding Site by White-Fronted Geese in Winter. Journal of Applied Ecology 8: 905-917.
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