• eRm

  • Referenced in 24 articles [sw06658]
  • estimation of the person parameters, Andersen’s LR-test, item-specific Wald test, Martin-Loef...
  • PP

  • Referenced in 2 articles [sw16237]
  • package PP: Person Parameter estimation. The PP package includes estimation ... ROBUST) person parameters for the 1,2,3,4-PL model and the GPCM (generalized...
  • psychotools

  • Referenced in 5 articles [sw16066]
  • extractor functions for different types of parameters (item, person, threshold, discrimination), unified inference and visualizations...
  • RSP

  • Referenced in 2 articles [sw13944]
  • restriction on the number of persons taking a test, but no missing data is allowed ... conditional maximum likelihood estimates CMLE of item parameters that do not depend ... assumption about the distribution of person parameters. RSP also offers marginal maximum likelihood estimation under...
  • GLIMMIX_Rasch

  • Referenced in 1 article [sw37267]
  • dichotomous Rasch model, estimates item and person parameters, and calculates unstandardized and standardized fit (INFIT ... associated with item difficulty and person ability. All parameter estimates and values for fit indices...
  • MIRID CML

  • Referenced in 1 article [sw37268]
  • differences in the estimation of the person parameters, as could be expected from the differential...
  • TP2010

  • Referenced in 3 articles [sw10683]
  • able to predict user personality starting from parameters related to user interactions, such ... reliable method for predicting the user personality...
  • LNIRT

  • Referenced in 2 articles [sw39009]
  • quadratic), and covariates for item and person (random) parameters. Data missing-by-design...
  • diffIRT

  • Referenced in 6 articles [sw24166]
  • Parameter restrictions (fixed value and equality constraints) are possible. In addition, factor scores (person drift...
  • NSPSO

  • Referenced in 17 articles [sw09598]
  • offspring, NSPSO compares all particles’ personal bests and their offspring in the entire population. This ... dominated sorting concept and two parameter-free niching methods, NSPSO and its variants have shown...
  • AMIKS

  • Referenced in 2 articles [sw22460]
  • form of solitary wave for some parameters. In the AMIKS user interface, there ... calculations on a personal computer in order to select the necessary parameters for task setting...
  • DeepLab

  • Referenced in 39 articles [sw15303]
  • larger context without increasing the number of parameters or the amount of computation. Second ... three other datasets: PASCAL-Context, PASCAL-Person-Part, and Cityscapes. All of our code...
  • Bio-LSTM

  • Referenced in 1 article [sw25897]
  • meshes represented in Skinned Multi-Person Linear (SMPL) model parameters. The proposed approach relies...
  • cirt

  • Referenced in 11 articles [sw08115]
  • accuracy at the level of a fixed person but may become a positive correlation ... Item responses are modeled by a two-parameter normal-ogive IRT model and response times...
  • WPerfit

  • Referenced in 1 article [sw23666]
  • program is described for computing different person-fit measures under different parametric item response models ... three-parameter logistic models. The program can plot person response curves, which allow the researcher...
  • ptr

  • Referenced in 1 article [sw39384]
  • command ptr, which both predicts a personalized treatment recommendation algorithm and evaluates its effectiveness versus ... continuous outcome. Confidence intervals for the evaluation parameter are provided using bootstrap resampling...
  • ProPPR

  • Referenced in 1 article [sw32915]
  • automatically generated via parameter learning; that in parameter learning, weight learning can be performed using ... parallel stochastic gradient descent with a supervised personalized PageRank algorithm; and that most importantly, queries...
  • Merly.jl

  • Referenced in 1 article [sw41440]
  • parameters, processing of data sent by a web client in the body in a personalized...
  • CARES

  • Referenced in 2 articles [sw33322]
  • based algorithm for generating a book ranking personalized for the individual. Experimental results on real ... impact of different values of parameters on the recommendation performance...
  • MATCH Uncertainty Elicitation

  • Referenced in 5 articles [sw29390]
  • help elicit probability distributions about uncertain model parameters from experts, in situations where suitable data ... difficult to interview experts in person. Even when conducting elicitation remotely, interviewers will be able...