Showing 6 of total 6 results (show query)
flr
mse:Tools for Running Management Strategy Evaluations using FLR
A set of functions and methods to enable the development and running of Management Strategy Evaluation (MSE) analyses, using the FLR packages and classes and the a4a methods and algorithms.
Maintained by Iago Mosqueira. Last updated 1 months ago.
4 stars 6.99 score 137 scripts 3 dependents
jacolien
itsadug:Interpreting Time Series and Autocorrelated Data Using GAMMs
GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented in the R package 'mgcv' (Wood, S.N., 2006; 2011) is a nonlinear regression analysis which is particularly useful for time course data such as EEG, pupil dilation, gaze data (eye tracking), and articulography recordings, but also for behavioral data such as reaction times and response data. As time course measures are sensitive to autocorrelation problems, GAMMs implements methods to reduce the autocorrelation problems. This package includes functions for the evaluation of GAMM models (e.g., model comparisons, determining regions of significance, inspection of autocorrelational structure in residuals) and interpreting of GAMMs (e.g., visualization of complex interactions, and contrasts).
Maintained by Jacolien van Rij. Last updated 3 years ago.
1 stars 6.45 score 576 scripts 2 dependents
inbo
camtrapdp:Read and Manipulate Camera Trap Data Packages
Read and manipulate Camera Trap Data Packages ('Camtrap DP'). 'Camtrap DP' (<https://camtrap-dp.tdwg.org>) is a data exchange format for camera trap data. With 'camtrapdp' you can read, filter and transform data (including to Darwin Core) before further analysis in e.g. 'camtraptor' or 'camtrapR'.
Maintained by Peter Desmet. Last updated 28 days ago.
7 stars 5.67 score 12 scripts
bergsmat
tablet:Tabulate Descriptive Statistics in Multiple Formats
Creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for 'html' and 'pdf' provided by 'kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.
Maintained by Tim Bergsma. Last updated 5 months ago.
3 stars 5.57 score 26 scripts
albertofranzin
bnstruct:Bayesian Network Structure Learning from Data with Missing Values
Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.
Maintained by Alberto Franzin. Last updated 1 years ago.
1 stars 5.40 score 111 scripts 3 dependents
aijordan
triptych:Diagnostic Graphics to Evaluate Forecast Performance
Overall predictive performance is measured by a mean score (or loss), which decomposes into miscalibration, discrimination, and uncertainty components. The main focus is visualization of these distinct and complementary aspects in joint displays. See Dimitriadis, Gneiting, Jordan, Vogel (2024) <doi:10.1016/j.ijforecast.2023.09.007>.
Maintained by Alexander I. Jordan. Last updated 10 months ago.
3.28 score 19 scripts