Showing 5 of total 5 results (show query)
alexanderrobitzsch
TAM:Test Analysis Modules
Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Maintained by Alexander Robitzsch. Last updated 7 months ago.
item-response-theoryopenblascpp
16 stars 8.93 score 258 scripts 25 dependents
usccana
netdiffuseR:Analysis of Diffusion and Contagion Processes on Networks
Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Maintained by George Vega Yon. Last updated 4 months ago.
contagiondiffusion-networknetwork-analysisnetwork-visualizationopenblascppopenmp
88 stars 8.88 score 217 scripts
mayer79
MetricsWeighted:Weighted Metrics and Performance Measures for Machine Learning
Provides weighted versions of several metrics and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.
Maintained by Michael Mayer. Last updated 8 months ago.
machine-learningmetricsperformancestatistics
11 stars 6.79 score 75 scripts 5 dependents
bayesiandemography
rvec:Vector Representing a Random Variable
Random vectors, called rvecs. An rvec holds multiple draws, but tries to behave like a standard R vector, including working well in data frames. Rvecs are useful for working with output from a simulation or a Bayesian analysis.
Maintained by John Bryant. Last updated 6 months ago.
2 stars 5.46 score 24 scripts 2 dependents
helske
diagis:Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Fast functions for effective sample size, weighted multivariate mean, variance, and quantile computation, and weight diagnostic plot for generic importance sampling type or other probability weighted samples.
Maintained by Jouni Helske. Last updated 2 years ago.
cppimportance-samplingweighted-samplesopenblascpp
1 stars 4.32 score 14 scripts 1 dependents