bmcclintock

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.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

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.

moveHMM

R package - Animal movement modelling using hidden Markov models

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

RMark

R package for interface to MARK for mark-recapture data analysis

spglasamp

package used for the paper "Estimating Abundance from Counts in Large Data Sets of Irregularly-Spaced Plots using Spatial Basis Functions"