Software for predicting library complexity and genome coverage in high-throughput sequencing.
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Updated
Oct 22, 2024 - C++
Software for predicting library complexity and genome coverage in high-throughput sequencing.
Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)
Material for a workshop on Bayesian analysis of capture-recapture data with hidden Markov models and Nimble
material for a review on capture-recapture methods and questions
Bayesian implementation of capture-recapture models with robust design
R package to perform goodness-of-fit tests for capture-recapture models (and various manipulations)
material for a workshop on Bayesian capture-recapture inference with hidden Markov models in Nimble
R and Jags codes to estimate fitness using capture-recapture data
This repository holds the source materials used for a working group/symposium on capture-recapture models and social networks, and an introduction to capture-recapture models in nimble to estimate demographic parameters.
Contains functions to simulate data from and fit SIR multievent models
Resources that might come handy to anyone using spatially explicit mark-capture-recapture models.
Illustrate CR models with individual heterogeneity (multistate, random-effect, finite-mixture)
Estimate abundance using capture-recapture models
Fit principal component capture-recapture model to snow petrel data
Seasonal survival analysis of the gray mouse lemur population in Kirindy Forest, Madagascar using multistate capture-recapture models.
Illustrate solutions to avoid local minima in multistate capture-recapture models
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