Showing 5 of total 5 results (show query)
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 13 hours ago.
animal-movementanimal-trackingrandom-effects-modelstate-space-modelstmbcpp
39 stars 7.11 score 59 scripts
dipterix
filearray:File-Backed Array for Out-of-Memory Computation
Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Maintained by Zhengjia Wang. Last updated 12 days ago.
arraybig-datamemory-mapout-of-memoryoutofmemorycpp
17 stars 6.58 score 10 scripts 3 dependents
armcn
maybe:The Maybe Monad
The maybe type represents the possibility of some value or nothing. It is often used instead of throwing an error or returning `NULL`. The advantage of using a maybe type over `NULL` is that it is both composable and requires the developer to explicitly acknowledge the potential absence of a value, helping to avoid the existence of unexpected behaviour.
Maintained by Andrew McNeil. Last updated 2 years ago.
50 stars 5.48 score 9 scripts 4 dependents
cysouw
qlcVisualize:Visualization for Quantitative Language Comparison
Collection of visualizations as used in quantitative language comparison. Currently implemented are visualisations dealing nominal data with multiple levels ("level map" and "factor map"), and assistance for making weighted geographical Voronoi-maps ("weighted map").
Maintained by Michael Cysouw. Last updated 6 months ago.
4.03 score 24 scripts
mikmart
monad:Operators and Generics for Monads
Compose generic monadic function pipelines with %>>% and %>-% based on implementing the 'S7' generics fmap() and bind(). Methods are provided for the built-in list type and the maybe class from the 'maybe' package. The concepts are modelled directly after the Monad typeclass in Haskell, but adapted for idiomatic use in R.
Maintained by Mikko Marttila. Last updated 5 months ago.
7 stars 3.54 score 3 scripts