Author: Noam Ross [aut, cre] (<https://orcid.org/0000-0002-2136-0000>),

Title: Fast and Stable Fitting of Generalized Linear Models using
person("Douglas", "Bates", , , c("cph")),
person("Dirk", "Eddelbuettel", , , c("cph")),
person("Romain", "Francois", , , c("cph")),
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares
implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard

Title: Fast Label-Dissimilarity Discordance Estimation with H+
Description: Estimation procedures for assessing fitness of observation labels (i.e., clusters or partitions) given observation dissimilarities, or vice versa. The estimated parameter of interest is modified from G+ (Williams 1971), so we call it H+.
Packaged: 2022-02-03 18:25:30 UTC; daviddyjack
Author: Nathan Dyjack [aut, cre] (<https://orcid.org/0000-0001-6944-6252>),
Stephanie C. Hicks [aut, ctb] (<https://orcid.org/0000-0002-7858-0231>)

Title: Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA,
Description: R wrappers of C++ implementation of Faster K-Medoids clustering algorithms (FastPAM, FastCLARA and FastCLARANS) proposed in Erich Schubert, Peter J. Rousseeuw 2019 <doi:10.1007/978-3-030-32047-8_16>.

Title: Basic Marginal Effects for Logit Models
Description: Calculates marginal effects based on logistic model objects such as 'glm' or 'speedglm' at the average (default) or at given values using finite differences. It also returns confidence intervals for said marginal effects and the p-values, which can easily be used as input in stargazer. The function only returns the essentials and is therefore much faster but not as detailed as other functions available to calculate marginal effects. As a result, it is highly suitable for large datasets for which other packages may require too much time or calculating power.

Title: A Fast Way to Calculate the p-Value of One or Multiple
Description: It is for all people who have to compute many Log-Rank-Tests and the 'survival' package is not fast enough for their purpose.
Therefore this small package provides two functions, one for a single Log-Rank-Test and another which calculates many Log-Rank-Tests at a time using threading.
Both runs very fast because it uses C++ code with 'Rcpp'.