Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999) <DOI:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K>, hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.

An implementation of the "Design Analysis" proposed by 
    Gelman and Carlin (2014) <doi:10.1177/1745691614551642>. It combines 
    the evaluation of Power-Analysis with other inferential-risks as 
    Type-M error (i.e. Magnitude) and Type-S error (i.e. Sign). See also
    Altoè et al. (2020) <doi:10.3389/fpsyg.2019.02893> and 
    Bertoldo et al. (2020) <doi:10.31234/osf.io/q9f86>.

Derives prediction rule ensembles (PREs). Largely follows the
    procedure for deriving PREs as described in Friedman & Popescu (2008; 
    <DOI:10.1214/07-AOAS148>), with adjustments and improvements described in 
    Fokkema (2020; <DOI:10.18637/jss.v092.i12>) and Fokkema & Strobl 
    (2020; <DOI:10.1037/met0000256>). The main function pre() derives 
    prediction rule ensembles consisting of rules and/or linear terms for 
    continuous, binary, count, multinomial, survival and multivariate 
    continuous responses. Function gpe() derives generalized prediction 
    ensembles, consisting of rules, hinge and linear functions of the 
    predictor variables.

An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.

It contains functions to analyze the precipitation
    intensity, concentration and anomaly.

An open-access tool/framework to download, validate, visualize, and
  analyze multi-source precipitation data. More information and an example of
  implementation can be found in Vargas Godoy and Markonis (2023,
  <doi:10.1016/j.envsoft.2023.105711>).