Computes conditional multivariate normal densities, probabilities, and random deviates.

Computes conditional multivariate t probabilities, random deviates, and densities. It can also be used to create missing values at random in a dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the package are the Expectation-Maximization (EM), Monte Carlo EM, and Stochastic EM algorithms for imputation of missing values in datasets assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0> for more details.

Interact with 'Condor' from R via SSH connection. Files are first
  uploaded from user machine to submitter machine, and the job is then submitted
  from the submitter machine to 'Condor'. Functions are provided to submit,
  list, and download 'Condor' jobs from R. 'Condor' is an open source
  high-throughput computing software framework for distributed parallelization
  of computationally intensive tasks.

Trading of Condor Options Strategies is represented here through their Graphs. The graphic indicators, strategies, calculations, functions and all the discussions are for academic, research, and educational purposes only and should not be construed as investment advice and come with absolutely no Liability.
    Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015, ISBN: 9780133964028).
    Zura Kakushadze, Juan A. Serur (“151 Trading Strategies”, 2018, ISBN: 9783030027919).
    John C. Hull (“Options, Futures, and Other Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).

Method to implement some newly developed methods for the
    estimation of the conditional survival function. See Meira-Machado, 
    Sestelo and Goncalves (2016) <doi:10.1002/bimj.201500038>.

Computes the density and probability for the conditional truncated multivariate normal (Horrace (2005) p. 4, <doi:10.1016/j.jmva.2004.10.007>). Also draws random samples from this distribution.