This Web page provides the installation instructions for Irucka Embry's drat repositories (R code) hosted at GitLab.com (https://gitlab.com/iembry/drat).


USA.state.boundaries.data package

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R package description:

There are 3 sets of USA maps contained within this data set. 1) A map of the USA with the NAD 1983 Albers Projection from the USGS that was originally part of ‘USGSstates2k’ which has been archived and is no longer maintained. Irucka worked with that data set while a Cherokee Nation Technology Solutions (CNTS) USGS Contractor and/or USGS employee. 2) A NAD83 datum map of the USA which includes all State boundaries & also includes Puerto Rico and the U.S. Virgin Islands. This map comes from the USGS National Map which has been discontinued. 3) A WGS84 datum map of the USA which includes all State boundaries & also includes Puerto Rico and the U.S. Virgin Islands. This map is a reprojection of the NAD83 datum map from the USGS National Map.


Please follow these instructions to install the USA.state.boundaries.data R package & load it



# checks to see if the `drat` package is already installed, if not, then it installs it. The `drat` package is loaded at the end.

if (!requireNamespace("drat", quietly = TRUE)) {

install.packages("drat")

library("drat")

} else {

library("drat")

}

addRepo("iembry", "https://iembry.gitlab.io/drat/")
# adds the iembry drat repository (source of the R package)

install.packages("USA.state.boundaries.data", repos = "https://iembry.gitlab.io/drat/", type = "source")
# installs the package

library("USA.state.boundaries.data")
# loads the package

Please refer to the examples found in the USA.state.boundaries.data README for further use of the USA.state.boundaries.data R package.




jab.adverse.reactions.full package

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R package description:

There are 3 sets of USA maps contained within this data set. 1) A map of the USA with the NAD 1983 Albers Projection from the USGS that was originally part of ‘USGSstates2k’ which has been archived and is no longer maintained. Irucka worked with that data set while a Cherokee Nation Technology Solutions (CNTS) USGS Contractor and/or USGS employee. 2) A NAD83 datum map of the USA which includes all State boundaries & also includes Puerto Rico and the U.S. Virgin Islands. This map comes from the USGS National Map which has been discontinued. 3) A WGS84 datum map of the USA which includes all State boundaries & also includes Puerto Rico and the U.S. Virgin Islands. This map is a reprojection of the NAD83 datum map from the USGS National Map.


Please follow these instructions to install the jab.adverse.reactions.full R package & load it



# checks to see if the `drat` package is already installed, if not, then it installs it. The `drat` package is loaded at the end.

if (!requireNamespace("drat", quietly = TRUE)) {

install.packages("drat")

library("drat")

} else {

library("drat")

}

addRepo("iembry", "https://iembry.gitlab.io/drat/")
# adds the iembry drat repository (source of the R package)

install.packages("jab.adverse.reactions.full", repos = "https://iembry.gitlab.io/drat/", type = "source")
# installs the package

library("jab.adverse.reactions.full")
# loads the package

Please refer to the examples found in the jab.adverse.reactions.full README for further use of the jab.adverse.reactions.full R package.




vaers package

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R package description:

US VAERS data for 1990 - 4/2/2021. To install the Suggested 'vaersND' package, please follow the instructions at '' to install the 'drat' repository. "The Vaccine Adverse Event Reporting System (VAERS) is a national early warning system to detect possible safety problems in U.S.-licensed vaccines. VAERS is co-managed by the Centers for Disease Control and Prevention (CDC) and the U.S. Food and Drug Administration (FDA)." For more information about the data, visit https://vaers.hhs.gov/. For information about vaccination$/immunization$ hazards, visit https://www.questionuniverse.com/rethink.html#vaccine, https://www.ecoccs.com/healing.html#vaccines, https://www.questionuniverse.com/rethink_current_crisis.html#cov_vaccin.


Please follow these instructions to install the vaers R package & load it



# checks to see if the `drat` package is already installed, if not, then it installs it. The `drat` package is loaded at the end.

if (!requireNamespace("drat", quietly = TRUE)) {

install.packages("drat")

library("drat")

} else {

library("drat")

}

addRepo("iembry", "https://iembry.gitlab.io/drat/")
# adds the iembry drat repository (source of the R package)

install.packages("vaers", repos = "https://iembry.gitlab.io/drat/", type = "source")
# installs the package

library("vaers")
# loads the package

Please refer to the examples found in the vaers README & vignette for further use of the vaers R package.




vaersND package

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R package description:

Non-Domestic VAERS data for VAERS data for 1990 - 4/2/2021. To install the Suggested 'vaers' package, please follow the instructions at '' to install the 'drat' repository. "The Vaccine Adverse Event Reporting System (VAERS) is a national early warning system to detect possible safety problems in U.S.-licensed vaccines. VAERS is co-managed by the Centers for Disease Control and Prevention (CDC) and the U.S. Food and Drug Administration (FDA)." For more information about the data, visit https://vaers.hhs.gov/. For information about vaccination$/immunization$ hazards, visit https://www.questionuniverse.com/rethink.html#vaccine, https://www.ecoccs.com/healing.html#vaccines, https://www.questionuniverse.com/rethink_current_crisis.html#cov_vaccin.


Please follow these instructions to install the vaersND R package & load it



# checks to see if the `drat` package is already installed, if not, then it installs it. The `drat` package is loaded at the end.

if (!requireNamespace("drat", quietly = TRUE)) {

install.packages("drat")

library("drat")

} else {

library("drat")

}

addRepo("iembry", "https://iembry.gitlab.io/drat/")
# adds the iembry drat repository (source of the R package)

install.packages("vaersND, repos = "https://iembry.gitlab.io/drat/", type = "source")
# installs the package

library("vaersND")
# loads the package

Please refer to the examples found in the vaersND README & vignette for further use of the vaersND R package.