R/StVAR-internal.R

.GeocodedInformation <-
structure(list(`75c4939f6b9e586160a1868690a625e7` = structure(list(
    results = list(structure(list(address_components = list(structure(list(
        long_name = "Nepal", short_name = "NP", types = c("country", 
        "political")), .Names = c("long_name", "short_name", 
    "types"))), formatted_address = "Nepal", geometry = structure(list(
        bounds = structure(list(northeast = structure(list(lat = 30.4469452, 
            lng = 88.2015257), .Names = c("lat", "lng")), southwest = structure(list(
            lat = 26.3479661, lng = 80.0584698), .Names = c("lat", 
        "lng"))), .Names = c("northeast", "southwest")), location = structure(list(
            lat = 28.394857, lng = 84.124008), .Names = c("lat", 
        "lng")), location_type = "APPROXIMATE", viewport = structure(list(
            northeast = structure(list(lat = 30.4469452, lng = 88.2015257), .Names = c("lat", 
            "lng")), southwest = structure(list(lat = 26.3479661, 
                lng = 80.0584698), .Names = c("lat", "lng"))), .Names = c("northeast", 
        "southwest"))), .Names = c("bounds", "location", "location_type", 
    "viewport")), place_id = "ChIJz2gufcfolTkR3obM0LyaojQ", types = c("country", 
    "political")), .Names = c("address_components", "formatted_address", 
    "geometry", "place_id", "types"))), status = "OK"), .Names = c("results", 
"status"))), .Names = "75c4939f6b9e586160a1868690a625e7")
.GoogleGeocodeQueryCount <-
structure(list(time = structure(1450862400.7986, class = c("POSIXct", 
"POSIXt")), url = "75c4939f6b9e586160a1868690a625e7", elements = 1), .Names = c("time", 
"url", "elements"), row.names = c(NA, -1L), class = "data.frame")
.Random.seed <-
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StVAR documentation built on May 1, 2019, 8:22 p.m.