Showing 6 of total 6 results (show query)
pbs-assess
sdmTMB:Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2024) <doi:10.1101/2022.03.24.485545>.
Maintained by Sean C. Anderson. Last updated 2 days ago.
ecologyglmmspatial-analysisspecies-distribution-modellingtmbcpp
205 stars 11.04 score 848 scripts 1 dependents
ianjonsen
aniMotum:Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Changes in Animal Movement
Fits continuous-time random walk, correlated random walk and move persistence state-space models for location estimation and behavioural inference from animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast random-effects estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). A track re-routing function is provided to adjust location estimates for known movement barriers. Track simulation functions are provided. Latent variable models are also provided to estimate move persistence from track data not requiring state-space model filtering.
Maintained by Ian Jonsen. Last updated 10 hours ago.
animal-movementanimal-trackingrandom-effects-modelstate-space-modelstmbcpp
39 stars 7.11 score 59 scripts
atsa-es
marssTMB:Fast fitting of MARSS models with TMB
Companion to the MARSS package. Fast fitting of MARSS models with TMB. See the MARSS documentation. All the model syntax and features are the same as for the MARSS package.
Maintained by Elizabeth E. Holmes. Last updated 2 years ago.
marssmultivariate-timeseriesstate-space-modeltime-seriestmb
1 stars 3.68 score 19 scripts
flr
FLSRTMB:FLSR in TMB
Estimates FLR spawner recruitment relationships in TMB
Maintained by Henning Winker. Last updated 27 days ago.
stock-recruitfisheriesflrtmbadcpp
3.67 score 26 scripts 1 dependents
calbertsen
covafillr:Local Polynomial Regression of State Dependent Covariates in State-Space Models
Facilitates local polynomial regression for state dependent covariates in state-space models. The functionality can also be used from 'C++' based model builder tools such as 'Rcpp'/'inline', 'TMB', or 'JAGS'.
Maintained by Christoffer Moesgaard Albertsen. Last updated 5 years ago.
cppeigenjagslocal-polynomial-regressionrcpptmbcpp
1 stars 3.00 score 20 scripts
poissonconsulting
tmbr:Analyses Using TMB
Facilitates analyses using 'Template Model Builder'.
Maintained by Joe Thorley. Last updated 2 months ago.
2.78 score 4 scripts