Peak Functions for Peak Detection in Univariate Time Series (scorepeak)
Provides peak functions, which enable us to detect peaks in time series. The methods implemented in this package are based on Girish Keshav Palshikar (2009) <https://…ms_for_Peak_Detection_in_Time-Series>.

Utility Functions for Large-scale Data (bigutilsr)
Utility functions for large-scale data. For now, package ‘bigutilsr’ mainly includes functions for outlier detection.

Bootstrap Tests for Equality of 2, 3, or 4 Population Variances (testequavar)
Tests the hypothesis that variances are homogeneous or not using bootstrap. The procedure uses a variance-based statistic, and is derived from a normal-theory test. The test equivalently expressed the hypothesis as a function of the log contrasts of the population variances. A box-type acceptance region is constructed to test the hypothesis. See Cahoy (2010) <doi:10.1016/j.csda.2010.04.012>.

Item Response Theory Models (Rirt)
Parameter estimation, computation of probability, information, and (log-)likelihood, and visualization of item/test characteristic curves and item/test information functions for three uni-dimensional item response theory models: the 3-parameter-logistic model, generalized partial credit model, and graded response model. The full documentation and tutorials are at <https://…/Rirt>.