Provides new_partialised() and new_composed(), which extend 
    partial() and compose() functions of 'purrr' to make it easier to extract 
    and replace arguments and functions. It also has additional adverbial
    functions.

An application for analysis of Adverse Events, as described in Chen, et al., (2023) <doi:10.3390/cancers15092521>.
             The required data for the application includes demographics, follow up, adverse event, drug administration and optional tumor measurement data.
             The app can produce swimmers plots of adverse events, Kaplan-Meier plots and Cox Proportional Hazards model results
             for the association of adverse event biomarkers and overall survival and progression free survival.
             The adverse event biomarkers include occurrence of grade 3, low grade (1-2), and treatment related adverse events.
             Plots and tables of results are downloadable.

Accurate point and interval estimation methods for multiple linear regression coefficients, under classical normal and independent error assumptions, taking into account variable selection.

The irregularly-spaced data are interpolated onto regular latitude-longitude grids by weighting each station according to its distance and angle from the center of a search radius. In addition to this, we also provide a simple way (Jones and Hulme, 1996) to grid the irregularly-spaced data points onto regular latitude-longitude grids by averaging all stations in grid-boxes. This study was supported by the National Natural Science Foundation of China (NSFC, Grant No. 42205177).

Implements wavelet-based approaches for describing population admixture. Principal Components Analysis (PCA) is used to define the population structure and produce a localized admixture signal for each individual. Wavelet summaries of the PCA output describe variation present in the data and can be related to population-level demographic processes. For more details, see J Sanderson, H Sudoyo, TM Karafet, MF Hammer and MP Cox. 2015. Reconstructing past admixture processes from local genomic ancestry using wavelet transformation. Genetics 200:469-481 <doi:10.1534/genetics.115.176842>.