Title: Orthogonal Nonlinear Least-Squares Regression
Description: Orthogonal Nonlinear Least-Squares Regression using Levenberg-Marquardt minimization.

Description: Orthogonal Nonlinear Least-Squares Regression using Levenberg-Marquardt Minimization.

Authors@R: c(person("Andrej-Nikolai Spiess", role = c("aut", "cre"), email = "draspiess@gmail.com"))
Description: Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting.
Author: Andrej-Nikolai Spiess [aut, cre]

Title: Import Public Health Ontario's Ontario Marginalization Index
person("William", "Conley", , "william@cconley.ca", role = c("aut", "cre"))
Description: The Ontario Marginalization Index is a socioeconomic model that is built on Statistics Canada census data.
The model consists of four dimensions: Residential Instability, Material Deprivation, Dependency and Ethnic Concentration.
Each of these dimensions are imported for a variety of geographic levels (DA, CD, etc.) for both the 2011 and 2016 administrations of the census (2021 pending).
These data sets contribute to community analysis of equity with respect to Ontario's Anti-Racism Act.
The Ontario Marginalization Index data is retrieved from the Public Health Ontario website: <https://www.publichealthontario.ca/en/data-and-analysis/health-equity/ontario-marginalization-index>.
The shapefile data is retrieved from the Statistics Canada website: <https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-eng.cfm>.
Depends: dplyr, httr, readxl, sf, stringr, utils

person("Yuan", "Tang", role = c("aut", "cre"), email = "terrytangyuan@gmail.com"),
person("ONNX Authors", role = c("aut", "cph")),
person("Facebook, Inc.", role = c("cph")),
person("Microsoft Corporation", role = c("cph")))
Description: R Interface to 'ONNX' - Open Neural Network Exchange <https://onnx.ai/>.
'ONNX' provides an open source format for machine learning models.
It defines an extensible computation graph model, as well as definitions
of built-in operators and standard data types.
Packaged: 2018-03-05 22:05:07 UTC; terrytangyuan