• ergm

  • Referenced in 54 articles [sw06777]
  • package ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks. An integrated ... analyze and simulate networks based on exponential-family random graph models (ERGM). ”ergm...
  • PROC GENMOD

  • Referenced in 29 articles [sw11741]
  • member of an exponential family of distributions. Many widely used statistical models are generalized linear...
  • glimmix

  • Referenced in 28 articles [sw11740]
  • have any distribution in the exponential family...
  • bfa

  • Referenced in 23 articles [sw07430]
  • trait models accommodating measurements in the exponential family. However, when generalizing to non-Gaussian measured...
  • rstiefel

  • Referenced in 21 articles [sw11607]
  • orthonormal matrices from linear and quadratic exponential family distributions on the Stiefel manifold. The most...
  • Tweedie

  • Referenced in 16 articles [sw07963]
  • package tweedie: Tweedie exponential family models. Maximum likelihood computations for Tweedie families...
  • KFAS

  • Referenced in 10 articles [sw14662]
  • KFAS: Kalman Filter and Smoother for Exponential Family State Space Models. Functions for Kalman filtering ... smoothing, forecasting and simulation of multivariate exponential family state space models with exact diffuse initialization...
  • EXPFIT4

  • Referenced in 31 articles [sw00257]
  • program is based on a family of exponential-fitted four-step methods. The presented code...
  • tergm

  • Referenced in 7 articles [sw24886]
  • Models for Network Evolution Based on Exponential-Family Random Graph Models. An integrated ... simulate network evolution based on exponential-family random graph models (ERGM). ’tergm’ is a part...
  • ePCA

  • Referenced in 4 articles [sw27830]
  • ePCA: high dimensional exponential family PCA. Many applications involve large datasets with entries from exponential ... family distributions. Our main motivating application is photon-limited imaging, where we observe images with ... this application, we develop ePCA (exponential family PCA), a new methodology for PCA on exponential ... denoising of large data matrices with exponential family entries. We conduct a substantive XFEL data...
  • GRKPACK

  • Referenced in 5 articles [sw31701]
  • Fitting smoothing spline ANOVA models for exponential families. Wahba, Wang, Gu, Klein and Klein ... ANOVA) method for data from exponential families. Based on RKPACK, which fits SS ANOVA models...
  • aster

  • Referenced in 7 articles [sw06088]
  • datasets for Aster modeling (forest graph exponential family conditional or unconditional canonical statistic models...
  • EpiModel

  • Referenced in 7 articles [sw16142]
  • robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite...
  • disclap

  • Referenced in 4 articles [sw14229]
  • disclap: Discrete Laplace Exponential Family. Discrete Laplace exponential family for models such as a generalized...
  • spatcounts

  • Referenced in 6 articles [sw13743]
  • information criterion is only appropriate for exponential family models, we use in addition the Vuong...
  • AMIDST

  • Referenced in 5 articles [sw21741]
  • covers a wide range of conjugate exponential family models. We evaluate the proposed algorithm...
  • hergm

  • Referenced in 4 articles [sw24884]
  • hergm: Hierarchical Exponential-Family Random Graph Models...
  • gergm

  • Referenced in 4 articles [sw21317]
  • specifies a joint distribution for an exponential family of graphs with continuous-valued edge weights...
  • ergm.graphlets

  • Referenced in 4 articles [sw20899]
  • Modeling Based on Graphlet Statistics. Exponential-family random graph models (ERGMs) are probabilistic network models...
  • pyMEF

  • Referenced in 2 articles [sw07455]
  • manipulation of mixture of exponential families. Unlike most of the other existing tools, this library ... allows one to use any exponential family instead of being limited to a particular distribution ... rapidly explore the different available exponential families in order to choose the ones better suited...