Maxlik

Maxlik: a package for maximum likelihood estimation in R. This paper describes the package maxLik for the statistical environment R. The package is essentially a unified wrapper interface to various optimization routines, offering easy access to likelihood-specific features like standard errors or information matrix equality (BHHH method). More advanced features of the optimization algorithms, such as forcing the value of a particular parameter to be fixed, are also supported.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 27 articles , 1 standard article )

Showing results 1 to 20 of 27.
Sorted by year (citations)

1 2 next

  1. Frery, Alejandro C.; Gambini, Juliana: Comparing samples from the (\mathcalG^0) distribution using a geodesic distance (2020)
  2. Ikechukwu, Agu Friday; Jaspa, Okoi Emmanuel; Emmanuel, Runyi Francis; Adeyinka, Ogunsanya: A three parameter shifted exponential distribution: properties and applications (2020)
  3. Diallo, Alpha Oumar; Diop, Aliou; Dupuy, Jean-François: Estimation in zero-inflated binomial regression with missing covariates (2019)
  4. Espinosa, Javier; Hennig, Christian: A constrained regression model for an ordinal response with ordinal predictors (2019)
  5. Graf, Monique; Marín, J. Miguel; Molina, Isabel: A generalized mixed model for skewed distributions applied to small area estimation (2019)
  6. Padayachee, Trishanta; Khamiakova, Tatsiana; Shkedy, Ziv; Salo, Perttu; Perola, Markus; Burzykowski, Tomasz: A multivariate linear model for investigating the association between gene-module co-expression and a continuous covariate (2019)
  7. Santana, Tiago V. F.; Ortega, Edwin M. M.; Cordeiro, Gauss M.: Generalized beta Weibull linear model: estimation, diagnostic tools and residual analysis (2019)
  8. Aragon, Davi C.; Achcar, Jorge A.; Martinez, Edson Z.: Maximum likelihood and Bayesian estimators for the double Poisson distribution (2018)
  9. Diallo, Alpha Oumar; Diop, Aliou; Dupuy, Jean-François: Analysis of multinomial counts with joint zero-inflation, with an application to health economics (2018)
  10. Louzada, Francisco; Shimizu, Taciana K. O.; Suzuki, Adriano K.; Mazucheli, Josmar; Ferreira, Paulo H.: Compositional regression modeling under tilted normal errors: an application to a Brazilian Super League Volleyball data set (2018)
  11. Pruim, Randall: Foundations and applications of statistics. An introduction using R (2018)
  12. Rodrigues, Giovani Carrara; Louzada, Francisco; Ramos, Pedro Luiz: Poisson-exponential distribution: different methods of estimation (2018)
  13. Yu, Jun; Kong, Xiangshun; Ai, Mingyao; Tsui, Kwok Leung: Optimal designs for dose-response models with linear effects of covariates (2018)
  14. Emanuele Giorgi and Peter Diggle: PrevMap: An R Package for Prevalence Mapping (2017) not zbMATH
  15. Godwin, Ryan T.: One-inflation and unobserved heterogeneity in population size estimation (2017)
  16. Lee, Kyungsub; Seo, Byoung Ki: Modeling microstructure price dynamics with symmetric Hawkes and diffusion model using ultra-high-frequency stock data (2017)
  17. Kosmidis, Ioannis; Karlis, Dimitris: Model-based clustering using copulas with applications (2016)
  18. Zinn, S.; Würbach, A.: A statistical approach to address the problem of heaping in self-reported income data (2016)
  19. Salehi, Mahdi; Doostparast, Mahdi: Expressions for moments of order statistics and records from the skew-normal distribution in terms of multivariate normal orthant probabilities (2015)
  20. Wright, Marvin N.; Ziegler, Andreas: Multiple censored data in dentistry: a new statistical model for analyzing lesion size in randomized controlled trials (2015)

1 2 next