Authors@R: c(person("Metin", family = "Bulus", role = c("aut", "cre"), email = "bulusmetin@gmail.com"), person("Nianbo", family = "Dong", role = c("aut")))
Implements bound constrained optimization of sample sizes in power analysis of multilevel regression discontinuity designs (MRDDs) and multilevel randomized trials (MRTs) with continuous outcomes. Bulus, M. & Dong, N. (2019). Bound Constrained Optimization of Sample Sizes Subject to Monetary Restrictions in Planning MRTs and MRDDs (Revise & Resubmit).

Implements bound constrained optimal sample allocation (BCOSA) framework described in Bulus & Dong (2019) <doi:10.1080/00220973.2019.1636197> for power analysis of multilevel regression discontinuity designs (MRDDs) and multilevel randomized trials (MRTs) with continuous outcomes. Separate tools for statistical power and minimum detectable effect size computations are provided.

Title: Bound Constrained Optimal Sample Size Allocation
Implements bound constrained optimal sample size allocation (BCOSSA) framework described in Bulus & Dong (2021) <doi:10.1080/00220973.2019.1636197> for power analysis of multilevel regression discontinuity designs (MRDDs) and multilevel randomized trials (MRTs) with continuous outcomes.
Minimum detectable effect size (MDES) and power computations for MRDDs allow polynomial functional form specification for the score variable (with or without interaction with the treatment indicator). See Bulus (2021) <doi:10.1080/19345747.2021.1947425>.

Title: Tools for estimating and predicting the cosinor model
Description: cosinor is a set of simple functions that
transforms longitudinal data to estimate the cosinor
linear model. Methods are given to summarize the mean,
amplitude and acrophase, to predict the mean annual
outcome value, and to test the coefficients.

Description: cosinor is a set of simple functions that transforms longitudinal
data to estimate the cosinor linear model as described in Tong (1976).
Methods are given to summarize the mean, amplitude and acrophase, to
predict the mean annual outcome value, and to test the coefficients.