R package BB: Solving and Optimizing Large-Scale Nonlinear Systems. Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette(”BB”).

References in zbMATH (referenced in 40 articles , 1 standard article )

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  1. Liu, Ruixuan; Yu, Zhengfei: Sample selection models with monotone control functions (2022)
  2. Meli, Enrico; Morini, Benedetta; Porcelli, Margherita; Sgattoni, Cristina: Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications (2022)
  3. Berg, Sergey S.; Palmer, Laura L.: A comparison of multinomial likelihood and chi-square approaches to statistical population reconstruction (2021)
  4. Evans, Katherine; Sun, BaoLuo; Robins, James; Tchetgen, Eric J. Tchetgen: Doubly robust regression analysis for data fusion (2021)
  5. Grapiglia, Geovani N.; Chorobura, Flávia: Worst-case evaluation complexity of derivative-free nonmonotone line search methods for solving nonlinear systems of equations (2021)
  6. Samuel L. Brilleman, Rory Wolfe, Margarita Moreno-Betancur, Michael J. Crowther: Simulating Survival Data Using the simsurv R Package (2021) not zbMATH
  7. Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang: Regression Modeling for Recurrent Events Using R Package reReg (2021) arXiv
  8. Zhang, Jun; Lin, Bingqing; Zhou, Yan: Kernel density estimation for partial linear multivariate responses models (2021)
  9. Chen, Xin; Ma, Xuejun; Zhou, Wang: Kernel density regression (2020)
  10. He, Wenjing; Ahmad, Zubair; Afify, Ahmed Z.; Goual, Hafida: The arcsine exponentiated-(X) family: validation and insurance application (2020)
  11. Liu, Lan; Miao, Wang; Sun, Baoluo; Robins, James; Tchetgen Tchetgen, Eric: Identification and inference for marginal average treatment effect on the treated with an instrumental variable (2020)
  12. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  13. Tarak Kharrat; Georgi Boshnakov; Ian McHale; Rose Baker: Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package (2019) not zbMATH
  14. Ebner, Bruno; Klar, Bernhard; Meintanis, Simos G.: Fourier inference for stochastic volatility models with heavy-tailed innovations (2018)
  15. Chiou, Sy Han; Xu, Gongjun: Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling (2017)
  16. Galea, Manuel; de Castro, Mário: Robust inference in a linear functional model with replications using the (t) distribution (2017)
  17. Gzyl, Henryk; ter Horst, Enrique; Molina, German: Inferring probability densities from expert opinion (2017)
  18. Shakil, M.; Ahsanullah, M.: Some inferences on the distribution of the Demmel condition number of complex Wishart matrices (2017)
  19. Anita Thieler; Roland Fried; Jonathan Rathjens: RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression (2016) not zbMATH
  20. Cordeiro, Gauss M.; Lima, Maria do Carmo S.; Gomes, Antonio E.; da-Silva, Cibele Q.; Ortega, Edwin M. M.: The gamma extended Weibull distribution (2016)

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