Provides function, wget_set(), to change the method (default to 'wget -c') using in download.file().
  Using 'wget -c' allowing continued downloading, which is especially useful for slow internet connection and for downloading large files.
  User can run wget_unset() to restore previous setting.

Functions for the analysis of whole-genome sequencing studies to simultaneously detect the existence, and estimate the locations of association signals at genome-wide scale. The functions allow genome-wide association scan, candidate region scan and single window test.

Functions for determining the effect of data weights on the variance of survey data: users will load a data set which has a weights column, and the package will calculate the design effect (DEFF), weighting loss, root design effect (DEFT), effective sample size (ESS), and/or weighted margin of error.

An enhanced implementation of Whittaker-Henderson smoothing for the graduation 
    of one-dimensional and two-dimensional actuarial tables used to quantify Life Insurance risks.
    'WH' is based on the methods described in Biessy (2025) <doi:10.48550/arXiv.2306.06932>.
    Among other features, it generalizes the original smoothing algorithm to maximum likelihood estimation, 
    automatically selects the smoothing parameter(s) and extrapolates beyond the range of data.

Provides an 'R' interface to the 'Whapi' 'API' <https://whapi.cloud>, enabling sending and receiving 'WhatsApp' messages directly from 'R'. Functions include sending text, images, documents, stickers, geographic locations, and interactive messages (buttons and lists). Also includes 'webhook' parsing utilities and channel health checks.

Simulates the results of completed randomized controlled
    trials, as if they had been conducted as adaptive Multi-Arm Bandit
    (MAB) trials instead. Augmented inverse probability weighted
    estimation (AIPW), outlined by Hadad et al. (2021)
    <doi:10.1073/pnas.2014602118>, is used to robustly estimate the
    probability of success for each treatment arm under the adaptive
    design. Provides customization options to simulate perfect/imperfect
    information, stationary/non-stationary bandits, blocked treatment
    assignments, along with control augmentation, and other hybrid
    strategies for assigning treatment arms. The methods used in
    simulation were inspired by Offer-Westort et al.  (2021)
    <doi:10.1111/ajps.12597>.