pconn Goto Github PK

bearded_ckmr

Data and code to conduct close-kin mark-recapture estimation of bearded seals in Alaska

bearded_integration

Integrated models for seasonal bearded seal "at sea" densities

bmc_capam_talk

CAPAM talk on Bayesian Model Checking (R Markdown), Feb 2022

boss

Analysis of Bering Sea aerial survey data

bossrussia

Abundance of ice-associated seals in the Russian Bering and Okhotsk Seas, 2012-2013

bossst

code for spatio-temporal abundance analysis for BOSS seal data

chessseal

Analysis of ice-associated seal abundance from 2016 aerial surveys in the Chukchi Sea

chukchipolarbear

Analysis of polar bear Chukchi Sea aerial survey data

chukchipower

Code to conduct a power analysis of instrumental based surveys in the Chukchi Sea

ckmr

Close kin mark-recapture simulation and analysis

euring-ckmr-2023

Workshop materials for Euring 2023 close-kin mark-recapture workshop

haulout

Analysis of availability probability using seal haulout records from satellite tags

hierarchicalds

Hierarchical models for distance sampling (previously at github/NMML)

hierarchicalgof

Model checking and goodness-of-fit for Bayesian hierarchical models

hs_detection

lhx

Analysis of LHX tag surgery on behavior of harbor seals

marked

R package for analysis of mark-recapture data solely with R

melding_spatial_surfaces

Code to fit a single, spatial relative abundance surface from multiple data sources

mrdsmove

Analysis of MRDS data subject to movement, measurement error, and (possible) observer dependence

msmixture

multistate mixture models

pconn.github.io

pref_sampling

sealmodelstmb

Spatio- and spatio-temporal models for seal abundance estimation

spatpred

stablestagephocid

Stable stage modeling using Leslie matrices for western Arctic phocids with implications for aerial survey correction factors

stabundance

Spatio-temporal abundance estimation

tmb-case-studies

Worked examples in TMB (Template Model Builder)

vast

Spatio-temporal analysis of univariate or multivariate data, e.g., standardizing data for multiple species or stages