The R package 'povmap' supports small area estimation of means and 
  poverty headcount rates. It adds several new features to the 'emdi' package
  (see "The R Package emdi for Estimating and Mapping Regionally Disaggregated 
  Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>). 
  These include new options for incorporating survey weights, ex-post 
  benchmarking of estimates, two additional transformations, several new 
  convenient functions to assist with reporting results, and a wrapper function 
  to facilitate access from 'Stata'.

Fast exponentiation when the exponent is an integer.

Density, distribution function, quantile function and random generation for the family of power and reversal power distributions.

Full pattern summation of X-ray powder diffraction data as
  described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405> and
  Butler and Hillier (2021) <doi:10.1016/j.cageo.2020.104662>.
  Derives quantitative estimates of crystalline and amorphous phase
  concentrations in complex mixtures.

Contains functions to obtain the operational characteristics of 
    bioequivalence studies in Two-Stage Designs (TSD) via simulations.

Makes it easy to push data to 'Power BI' using R and the 'Power BI 
    REST APIs' (see <https://docs.microsoft.com/en-us/rest/api/power-bi/>). 
    A set of functions for turning data frames into 'Power BI' datasets and 
    refreshing these datasets are provided. Administrative tasks such as 
    monitoring refresh statuses and pulling metadata about workspaces and users
    are also supported.

Functions for bootstrapping the power of ANOVA designs
    based on estimated means and standard deviations of the conditions.
    Please refer to the documentation of the boot.power.anova() function
    for further details.

A power analysis tool for jointly testing the cause-1 cause-specific hazard and the any-cause hazard with competing risks data.

Power and sample size calculation for bulk tissue and single-cell eQTL analysis
             based on ANOVA, simple linear regression, or linear mixed effects model. It can also calculate power/sample size 
             for testing the association of a SNP to a continuous type phenotype.
             Please see the reference: Dong X, Li X, Chang T-W, Scherzer CR, Weiss ST, Qiu W. (2021) <doi:10.1093/bioinformatics/btab385>.