person("Carl A. B.", "Pearson", email="carl.pearson@lshtm.ac.uk", role = c("aut","cre"), comment = c(ORCID="0000-0003-0701-7860")),
person("Samuel", "Clifford", role = c("aut"), comment = c(ORCID="0000-0002-3774-3882")),
person("Stefan", "Flasche", role = c("aut"), comment = c(ORCID="0000-0002-5808-2606")),
person("Thomas J.", "Hladish", role = c("aut"), comment = c(ORCID="0000-0003-1819-6235"))
in <doi:10.1098/rsif.2019.0234>.  Using the functions in the package,
Author: Carl A. B. Pearson [aut, cre] (<https://orcid.org/0000-0003-0701-7860>),

Packaged: 2019-11-30 20:31:28 UTC; carlpearson

Title: Cache R Expressions, Taking Their Dependencies into Account
Authors@R: person('Ivan', 'Krylov', email = 'krylov.r00t@gmail.com',
Description: Hash an expression with its dependencies and store its
value, reloading it from a file as long as both the expression and

Description: Functions to compute coefficients measuring the dependence of two or more than two variables. The functions can be deployed to gain information about functional dependencies of the variables with emphasis on monotone functions. The statistics describe how well one response variable can be approximated by a monotone function of other variables. In regression analysis the variable selection is an important issue. In this framework the functions could be useful tools in modeling the regression function. Detailed explanations on the subject can be found in papers Liebscher (2014) <doi:10.2478/demo-2014-0004>; Liebscher (2017) <doi:10.1515/demo-2017-0012>; Liebscher (2019, submitted).

Title: Inference for parametric and nonparametric models for dependent
Author: Takeshi EMURA, Graduate Institute of Statistics, National
Description: The package performs parametric and nonparametric
inferences for models with dependent truncation data.

Title: Inference for parametric and semiparametric models based on
Description: The package performs parametric and semiparametric
inferences for models based on dependent truncation data

Title: Statistical inference for parametric and semiparametric models
Description: The package performs parametric and semiparametric inferences for models based on dependently truncated data. Semi-parametric approaches are based on Chaieb, Rivest and Abdous (2006 Biometrika) and Emura, Wang and Hung (2011 Statistica Sinica). Parametric approaches are based on Emura and Konno (2012 Statistical Papers).