Weiliang Qiu, Jorge Chavarro, Ross Lazarus, Bernard Rosner, Jing Ma.

Functions to calculate power and
sample size for testing main effect or interaction effect in
the survival analysis of epidemiological studies
(non-randomized studies), taking into account the
correlation between the covariate of the
interest and other covariates. Some calculations also take
into account the competing risks and stratified analysis.
This package also includes
a set of functions to calculate power and sample size
for testing main effect in the survival analysis of
randomized clinical trials and conditional logistic regression for nested case-control study.

An Interface to the 'Power BI REST APIs'
person("Christian", "Vermehren", email = "cv@cantab.net",
role = c("aut", "cre"))
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.
data.table, jsonlite, httr, utils, AzureAuth

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.
lme4, gdata, MASS, reshape2, stringr, plyr, ggplot2

Extensions of 'dplyr' and 'fuzzyjoin' Join Functions
c(person(given = "Antoine",
family = "Fabri",
role = c("aut", "cre"),
email = "antoine.fabri@gmail.com"),
person(given = "Hadley",
family = "Wickham",
role = c("ctb"),
email = "hadley@rstudio.com",
comment = c(
"aut/cre of dplyr",
ORCID = "0000-0003-4757-117X")),
person(given = "Romain",
family = "François",
role = "ctb",
comment = c(
"aut of dplyr",
ORCID = "0000-0002-2444-4226")),
person(given = "David",
family = "Robinson",
role = "ctb",
email = "admiral.david@gmail.com",
comment = "aut of fuzzyjoin"),
person(given = "RStudio",
role = c("cph", "fnd"),
comment = "cph/fnd dplyr"))
Extensions of 'dplyr' and 'fuzzyjoin' join functions. Packed with
features to preprocess the data, apply various data checks, and deal with
conflicting columns.
dplyr, generics, glue, rlang, tidyselect, vctrs, purrr,
magrittr, lifecycle, tibble, tidyr, cli, methods
Antoine Fabri [aut, cre],
Hadley Wickham [ctb] (aut/cre of dplyr,
<https://orcid.org/0000-0003-4757-117X>),
Romain François [ctb] (aut of dplyr,
<https://orcid.org/0000-0002-2444-4226>),
David Robinson [ctb] (aut of fuzzyjoin),
RStudio [cph, fnd] (cph/fnd dplyr)