Suggests: testthat (>= 2.1.0), knitr, rmarkdown, webshot

Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models.   Shaffer, D.W., Collier, W., & Ruis, A.R. (2016).
Packaged: 2021-04-22 11:15:39 UTC; clmarquart

Packaged: 2022-03-25 15:48:52 UTC; clmarquart

Author: Francesc Badia Roca (ISGlobal) <francesc.badia@isglobal.org>,
David Moriña Soler (Catalan Institute of Oncology (ICO)-IDIBELL) <david.morina@uab.cat>
Description: Fits a linear excess relative risk model by maximum likelihood, possibly including several variables and allowing for lagged exposures. Allow time dependent covariates.
Imports: survival, stats4, plyr, dplyr, reshape2, numDeriv, ggplot2
Maintainer: Francesc Badia Roca <francesc.badia@isglobal.org>

Title: Get Seismic Data from the International Federation of Digital
Description: This package facilitates searching for and downloading seismic time series in miniSEED format (a minimalist version of the Standard for the Exchange of Earthquake Data) from International Federation of Digital Seismograph Networks repositories. This package can also be used to gather information about seismic networks (stations, channels, locations, etc) and find historical earthquake data (origins, magnitudes, etc).

Title: Space-Time Estimation of Forest Variables using the FIA Database
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatio-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson (2005) <doi:10.2737/SRS-GTR-80>, and has been validated against estimates and sampling errors produced by FIA 'EVALIDator'. Current development is focused on the implementation of spatially-enabled model-assisted estimators to improve population, change, and ratio estimates.
Imports: dplyr, stringr, sp, sf, tidyr (>= 1.0.0), parallel, ggplot2,
gganimate, methods, data.table, bit64, progress