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Monte Carlo Hypothesis Tests with Sequential Stopping
Performs Monte Carlo hypothesis tests, allowing a couple of different sequential stopping boundaries. For example, a truncated sequential probability ratio test boundary (Fay, Kim and Hachey, 2007
Beta Product Confidence Procedure for Right Censored Data
Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain
Ordered Composite Endpoints with Censoring
Estimates win ratio or Mann-Whitney parameter for two group
comparisons using ordered composite endpoints with right censoring
as described in Follmann, Fay, Hamasaki, and Evans (2020)
Import Professional Baseball Data from 'Retrosheet'
A collection of tools to import and structure the (currently) single-season event, game-log, roster, and schedule data available from < https://www.retrosheet.org>. In particular, the event (a.k.a. play-by-play) files can be especially difficult to parse. This package does the parsing on those files, returning the requested data in the most practical R structure to use for sabermetric or other analyses.
Keyboard Shortcuts for 'shiny'
Assign and listen to keyboard shortcuts in 'shiny' using the 'Mousetrap' Javascript library.
Send Email Messages
A light, simple tool for sending emails with minimal dependencies.
Small Area Estimation: Time-Series Models
Time series area-level models for small area estimation.
The package supplements the functionality of the sae package. Specifically, it includes
EBLUP fitting of the Rao-Yu model in the original form without a spatial component.
The package also offers a modified ("dynamic") version of the Rao-Yu model, replacing
the assumption of stationarity. Both univariate and multivariate applications are
supported. Of particular note is the allowance for covariance of the area-level sample
estimates over time, as encountered in rotating panel designs such as the U.S. National
Crime Victimization Survey or present in a time-series of 5-year estimates from the
American Community Survey. Key references to the methods include
J.N.K. Rao and I. Molina (2015, ISBN:9781118735787),
J.N.K. Rao and M. Yu (1994)
Run Quality Checks on Data Prior to Submission to ICES
Run quality checks on data sets using the same checks that are conducted on the ICES Data Submission Utility (DATSU) < https://datsu.ices.dk>.
Predict Fish Year-Class Strength from Survey Data
Predict fish year-class strength by calibration regression analysis of multiple recruitment index series.
Link to the ICES Vessel Monitoring System and Logbook Database Web Services
Links to the ICES Vessel Monitoring System (VMS) and logbook database web services < https://data.ices.dk/vms/webservices> to allow users to download summaries and data products.