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smbc-nzp

MigConnectivity:Estimate Migratory Connectivity for Migratory Animals

Allows the user to estimate transition probabilities for migratory animals between any two phases of the annual cycle, using a variety of different data types. Also quantifies the strength of migratory connectivity (MC), a standardized metric to quantify the extent to which populations co-occur between two phases of the annual cycle. Includes functions to estimate MC and the more traditional metric of migratory connectivity strength (Mantel correlation) incorporating uncertainty from multiple sources of sampling error. For cross-species comparisons, methods are provided to estimate differences in migratory connectivity strength, incorporating uncertainty. See Cohen et al. (2018) <doi:10.1111/2041-210X.12916>, Cohen et al. (2019) <doi:10.1111/ecog.03974>, and Roberts et al. (2023) <doi:10.1002/eap.2788> for details on some of these methods.

Maintained by Jeffrey A. Hostetler. Last updated 1 years ago.

jagscpp

8 stars 6.29 score 41 scripts

oliviergimenez

R2ucare:Goodness-of-Fit Tests for Capture-Recapture Models

Performs goodness-of-fit tests for capture-recapture models as described by Gimenez et al. (2018) <doi:10.1111/2041-210X.13014>. Also contains several functions to process capture-recapture data.

Maintained by Olivier Gimenez. Last updated 3 years ago.

arnason-schwarz-modelscapture-recapture-modelscormack-jolly-sebergoodness-of-fit

6 stars 6.10 score 104 scripts

bmcclintock

multimark:Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks

Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive "marks", such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks. See McClintock (2015) <doi:10.1002/ece3.1676> and Maronde et al. (2020) <doi:10.1002/ece3.6990>.

Maintained by Brett T. McClintock. Last updated 2 years ago.

1 stars 3.65 score 30 scripts

btorobrob

cesr:Trend analysis of Constant Effort Site ringing data

Functions for reading EuroCES data in Euring format to produce annual indices of abundance, productivity and survival. Designed to primarily analyse data from schemes with 10-12 visits per year following methods used by the BTO. Use read.ces() to read in data, extract.data() and index() to do abundance/productivity trends and extract.ch() and mark.ces() to estimate survival probabilities.

Maintained by Rob Robinson. Last updated 9 days ago.

cpp

1 stars 2.16 score 29 scripts

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