Two-stage design for single-arm phase II 
		trials with time-to-event endpoints (e.g., clinical trials on 
		immunotherapies among cancer patients) can be calculated using this package. 
		Two notable advantages of the package: 1) It provides flexible choices from 
		three design methods (optimal, minmax, and admissible), and 2) the power of
		the design is more accurately calculated using the exact variance in the
		one-sample log-rank test. The package can be used for 1) planning the sample
		sizes and other design parameters, and 2) conducting the interim and final
		analyses for the Go/No-go decisions. More details about the design method
		can be found in: Wu, J, Chen L, Wei J, Weiss H, Chauhan A. (2020).
		<doi:10.1002/pst.1983>.

Get operating characteristics of one-arm clinical trial designs for time-to-event endpoint through simulation and perform analysis with time-to-event data.

Maximum homogeneity clustering algorithm for one-dimensional data
    described in W. D. Fisher (1958) <doi:10.1080/01621459.1958.10501479>
    via dynamic programming.

Quickly create numeric matrices for machine learning algorithms
    that require them. It converts factor columns into onehot vectors.

Estimates one-inflated positive Poisson (OIPP) and
    one-inflated zero-truncated negative binomial (OIZTNB) regression
    models. A suite of ancillary statistical tools are also provided,
    including: estimation of positive Poisson (PP) and zero-truncated
    negative binomial (ZTNB) models; marginal effects and their standard
    errors; diagnostic likelihood ratio and Wald tests; plotting;
    predicted counts and expected responses; and random variate
    generation. The models and tools, as well as four applications, are
    shown in Godwin, R. T. (2024). "One-inflated zero-truncated count
    regression models" arXiv preprint <doi:10.48550/arXiv.2402.02272>.

The identity provider ['OneLogin']<http://onelogin.com> is used for 
  authentication via Single Sign On (SSO). This package provides an R interface to their API.