Imports: DEoptim, RWiener, rtdists, stats, ggplot2

Imports: DEoptim, RWiener, rtdists, stats, ggplot2, Rcpp

Description: Provides fast methods to work with Merton's distance to default
The methods includes simulation and estimation of the parameters.
Suggests: knitr, rmarkdown, testthat, microbenchmark
Author: Benjamin Christoffersen [cre, aut],

Title: Software implementation of step-down and step-up Dunnett test
Description: For the implementation of the step-down or step-up Dunnett testing procedures, the package includes R functions to calculate critical constants and R functions to calculate adjusted P-values of the test statistics. In addition, the package also contains functions to evaluate testing powers and hence the necessary sample sizes specially for the classical problem of comparisons of several treatments with a control.

Description: In practice, we will encounter problems where the longitudinal performance of processes needs to be monitored over time.
Dynamic screening systems (DySS) are methods that aim to identify and give signals to processes with poor performance as early as possible.
This package is designed to implement dynamic screening systems and the related methods.
Imports: Rcpp (>= 1.0.0), utils, stats, graphics, ggplot2, gridExtra

Title: Functions for Dyadic Sequence Analyses
Description: Small collection of functions for dyadic binary/dichotomous sequence analyses, e.g. transforming sequences into time-to-event data, implementation of Bakeman & Gottman's (1997) approach of aggregated logit-models, and simulating expected number of low/zero frequencies for state-transition tables. Further functions will be added in future releases. References: Bakeman, R., & Gottman, J. M. (1997) <DOI:10.1017/cbo9780511527685>.

Description: Functions for dyadic binary/dichotomous sequence analyses are implemented in this contribution.
The focus is on estimating actor-partner-interaction models using various approaches, for
instances the approach of Bakeman & Gottman's (1997) <DOI:10.1017/cbo9780511527685>,
generalized multi-level models, and basic Markov models. Moreover, coefficients of one model
can be translated into those of the other models. Finally, simulation-based power analyses are