Pinned Repositories
bmcclintock.r-universe.dev
Combining-different-data-types-in-a-single-model
Materials for the ISEC workshop 'Combining different data types in a single model' 29th June 2018
crawl
R package for modeling animal movement with continuous-time correlated random walk models
crawl-workshop
slides, data, code and a book in support of workshops at AFSC and SWFSC for the R package `crawl`
crwHMM
DbayPupResponse-supporting-code
Harbor seal pup response to cruise ships in Disenchantment Bay
hmmTMB
Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.
marked
R package for analysis of mark-recapture data solely with R
momentuHMM
Maximum likelihood analysis Of animal MovemENT behavior Using multivariate Hidden Markov Models
multimark
R package for capture-recapture analysis with multiple non-invasive marks
bmcclintock's Repositories
bmcclintock/momentuHMM
Maximum likelihood analysis Of animal MovemENT behavior Using multivariate Hidden Markov Models
bmcclintock/DbayPupResponse-supporting-code
Harbor seal pup response to cruise ships in Disenchantment Bay
bmcclintock/spglasamp
package used for the paper "Estimating Abundance from Counts in Large Data Sets of Irregularly-Spaced Plots using Spatial Basis Functions"
bmcclintock/multiStateLangevin-supporting-code
Supporting data and R code for "A multistate Langevin diffusion for inferring behavior-specific habitat selection and utilization distributions" by McClintock & Lander
bmcclintock/multimark
R package for capture-recapture analysis with multiple non-invasive marks
bmcclintock/bmcclintock.r-universe.dev
bmcclintock/hmmTMB
Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.
bmcclintock/crawl
R package for modeling animal movement with continuous-time correlated random walk models
bmcclintock/mixedHMM-MEE-2021-supporting-code
Supporting code for "Worth the effort? A practical examination of random effects in hidden Markov models for animal telemetry data" by McClintock (2021), published in Methods in Ecology and Evolution.
bmcclintock/crwHMM
bmcclintock/RMark
R package for interface to MARK for mark-recapture data analysis
bmcclintock/crawl-workshop
slides, data, code and a book in support of workshops at AFSC and SWFSC for the R package `crawl`
bmcclintock/Combining-different-data-types-in-a-single-model
Materials for the ISEC workshop 'Combining different data types in a single model' 29th June 2018
bmcclintock/moveHMM
R package - Animal movement modelling using hidden Markov models
bmcclintock/marked
R package for analysis of mark-recapture data solely with R