broom, knitr, rmarkdown, patchwork, fivethirtyeightdata
Packaged: 2020-08-04 23:36:50 UTC; rudeboybert

Packaged: 2021-10-07 12:58:41 UTC; rudeboybert

Title: The Distribution of Distances Between Discrete Events in Fixed
Authors@R: c(person("Kristian Hovde", "Liland", role = c("aut","cre"),
Description: Distribution functions and test for over-representation of short
distances in the Liland distribution. Simulation functions are included for

Packaged: 2016-10-01 21:09:48 UTC; kristian.liland

Title: Fixed Income Models, Calculations, Data Structures and
Authors@R: person("Wilson", "Freitas", email = "wilson.freitas@gmail.com",
Description: Fixed income mathematics made easy. A rich set of functions
that helps with calculations of interest rates and fixed income.
It has objects that abstract interest rates, compounding factors, day count rules,
forward rates and term structure of interest rates.
Many interpolation methods and parametric curve models commonly used by practitioners
Imports: bizdays (>= 1.0.0), methods, graphics, stats, grDevices, utils

Suggests: knitr, rmarkdown, rb3, dplyr, testthat (>= 3.0.0)

Imports: bizdays (>= 1.0.0), methods, graphics, stats, grDevices,

Title: An R Client for the "Fixer.io" Currency API
Description: An R client for the "fixer.io" currency conversion and exchange
rate API. The API requires registration and some features are only available
on paid accounts. The full documentation is available at
email = "evanodell91@gmail.com", role = c("aut", "cre"),
Packaged: 2018-04-06 05:06:27 UTC; evanodell

on paid accounts. The full API documentation is available at
Packaged: 2018-08-23 09:53:52 UTC; evanodell

Imports: stats, graphics, utils, Formula, MASS, numDeriv, nlme, Rcpp
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial.
The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>.
Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.