Showing 6 of total 6 results (show query)
r-lib
coro:'Coroutines' for R
Provides 'coroutines' for R, a family of functions that can be suspended and resumed later on. This includes 'async' functions (which await) and generators (which yield). 'Async' functions are based on the concurrency framework of the 'promises' package. Generators are based on a dependency free iteration protocol defined in 'coro' and are compatible with iterators from the 'reticulate' package.
Maintained by Lionel Henry. Last updated 1 months ago.
asynccoroutinesgeneratoriteratorpromisesreticulate
167 stars 11.89 score 105 scripts 53 dependents
rsbivand
splancs:Spatial and Space-Time Point Pattern Analysis
The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode".
Maintained by Roger Bivand. Last updated 10 months ago.
1 stars 8.75 score 592 scripts 53 dependents
smartdata-analysis-and-statistics
metamisc:Meta-Analysis of Diagnosis and Prognosis Research Studies
Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) <doi:10.1002/sim.8981>.
Maintained by Thomas Debray. Last updated 2 months ago.
meta-analysisprognosisprognostic-models
7 stars 7.48 score 102 scripts
jakobbossek
ecr:Evolutionary Computation in R
Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.
Maintained by Jakob Bossek. Last updated 2 years ago.
combinatorial-optimizationevolutionary-algorithmevolutionary-algorithmsevolutionary-strategygenetic-algorithm-frameworkmetaheuristicsmulti-objective-optimizationoptimizationoptimization-frameworkcpp
43 stars 7.36 score 89 scripts 2 dependents
sqyu
genscore:Generalized Score Matching Estimators
Implementation of the Generalized Score Matching estimator in Yu et al. (2019) <http://jmlr.org/papers/v20/18-278.html> for non-negative graphical models (truncated Gaussian, exponential square-root, gamma, a-b models) and univariate truncated Gaussian distributions. Also includes the original estimator for untruncated Gaussian graphical models from Lin et al. (2016) <doi:10.1214/16-EJS1126>, with the addition of a diagonal multiplier.
Maintained by Shiqing Yu. Last updated 5 years ago.
density-estimationgraphical-modelsinteraction-modelsscore-matchingundirected-graphs
1 stars 4.18 score 3 scripts 1 dependents
hjboonstra
mcmcsae:Markov Chain Monte Carlo Small Area Estimation
Fit multi-level models with possibly correlated random effects using Markov Chain Monte Carlo simulation. Such models allow smoothing over space and time and are useful in, for example, small area estimation.
Maintained by Harm Jan Boonstra. Last updated 4 months ago.
2.48 score 8 scripts