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.github/.gitignore
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vignettes/creating-gravity-datasets.R
has changed.
man/bvw.Rd
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vignettes/creating-gravity-datasets.Rmd
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man/nbpml.Rd
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docs/reference/nls.html
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docs/index.html
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docs/pkgdown.css
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docs/pkgdown.yml
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docs/reference/tobit.html
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man/ppml.Rd
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man/gpml.Rd
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docs/reference/et_tobit.html
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docs/reference/ppml.html
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docs/articles/index.html
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docs/reference/sils.html
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docs/reference/ddm.html
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docs/reference/ek_tobit.html
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docs/news/index.html
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man/ddm.Rd
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vignettes/crash-course-on-gravity-models.R
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docs/reference/log_distance.html
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docs/reference/bvu.html
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man/ek_tobit.Rd
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man/bvu.Rd
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docs/articles/crash-course-on-gravity-models.html
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README.Rmd
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DESCRIPTION
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man/fixed_effects.Rd
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NEWS.md
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@@ -95,8 +95,8 @@
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| 95 | 95 | #' library(dplyr) |
|
| 96 | 96 | #' data("gravity_no_zeros") |
|
| 97 | 97 | #' |
|
| 98 | - | #' # Choose 5 countries for testing |
|
| 99 | - | #' countries_chosen <- c("AUS", "CHN", "GBR", "BRA", "CAN") |
|
| 98 | + | #' # Choose 3 countries for testing |
|
| 99 | + | #' countries_chosen <- c("AUS", "GBR", "CAN") |
|
| 100 | 100 | #' grav_small <- filter(gravity_no_zeros, iso_o %in% countries_chosen) |
|
| 101 | 101 | #' |
|
| 102 | 102 | #' fit <- nbpml( |
@@ -89,11 +89,11 @@
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| 89 | 89 | #' # Executable in < 5 sec |
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| 90 | 90 | #' library(dplyr) |
|
| 91 | 91 | #' data("gravity_no_zeros") |
|
| 92 | - | #' |
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| 92 | + | #' |
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| 93 | 93 | #' # Choose 5 countries for testing |
|
| 94 | 94 | #' countries_chosen <- c("AUS", "CHN", "GBR", "BRA", "CAN") |
|
| 95 | 95 | #' grav_small <- filter(gravity_no_zeros, iso_o %in% countries_chosen) |
|
| 96 | - | #' |
|
| 96 | + | #' |
|
| 97 | 97 | #' fit <- bvw( |
|
| 98 | 98 | #' dependent_variable = "flow", |
|
| 99 | 99 | #' distance = "distw", |
@@ -172,11 +172,11 @@
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| 172 | 172 | ||
| 173 | 173 | # Multilateral resistance (MR) for distance ---------------------------------- |
|
| 174 | 174 | d <- d %>% |
|
| 175 | - | group_by(!!sym(code_origin), add = FALSE) %>% |
|
| 175 | + | group_by(!!sym(code_origin), .add = FALSE) %>% |
|
| 176 | 176 | mutate( |
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| 177 | 177 | mr_dist_1 = sum(!!sym("theta_j") * !!sym("dist_log"), na.rm = TRUE) |
|
| 178 | 178 | ) %>% |
|
| 179 | - | group_by(!!sym(code_destination), add = FALSE) %>% |
|
| 179 | + | group_by(!!sym(code_destination), .add = FALSE) %>% |
|
| 180 | 180 | mutate( |
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| 181 | 181 | mr_dist_2 = sum(!!sym("theta_i") * !!sym("dist_log"), na.rm = TRUE) |
|
| 182 | 182 | ) %>% |
@@ -83,11 +83,11 @@
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| 83 | 83 | #' # Executable in < 5 sec |
|
| 84 | 84 | #' library(dplyr) |
|
| 85 | 85 | #' data("gravity_no_zeros") |
|
| 86 | - | #' |
|
| 86 | + | #' |
|
| 87 | 87 | #' # Choose 5 countries for testing |
|
| 88 | 88 | #' countries_chosen <- c("AUS", "CHN", "GBR", "BRA", "CAN") |
|
| 89 | 89 | #' grav_small <- filter(gravity_no_zeros, iso_o %in% countries_chosen) |
|
| 90 | - | #' |
|
| 90 | + | #' |
|
| 91 | 91 | #' fit <- ddm( |
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| 92 | 92 | #' dependent_variable = "flow", |
|
| 93 | 93 | #' distance = "distw", |
@@ -143,22 +143,22 @@
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| 143 | 143 | y_log_ddm = !!sym("y_log"), |
|
| 144 | 144 | dist_log_ddm = !!sym("dist_log") |
|
| 145 | 145 | ) %>% |
|
| 146 | - | group_by(!!sym(code_origin), add = FALSE) %>% |
|
| 146 | + | group_by(!!sym(code_origin), .add = FALSE) %>% |
|
| 147 | 147 | mutate( |
|
| 148 | 148 | ym1 = mean(!!sym("y_log_ddm"), na.rm = TRUE), |
|
| 149 | 149 | dm1 = mean(!!sym("dist_log_ddm"), na.rm = TRUE) |
|
| 150 | 150 | ) %>% |
|
| 151 | - | group_by(!!sym(code_destination), add = FALSE) %>% |
|
| 151 | + | group_by(!!sym(code_destination), .add = FALSE) %>% |
|
| 152 | 152 | mutate( |
|
| 153 | 153 | ym2 = mean(!!sym("y_log_ddm"), na.rm = TRUE), |
|
| 154 | 154 | dm2 = mean(!!sym("dist_log_ddm"), na.rm = TRUE) |
|
| 155 | 155 | ) %>% |
|
| 156 | - | group_by(!!sym(code_origin), add = FALSE) %>% |
|
| 156 | + | group_by(!!sym(code_origin), .add = FALSE) %>% |
|
| 157 | 157 | mutate( |
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| 158 | 158 | y_log_ddm = !!sym("y_log_ddm") - !!sym("ym1"), |
|
| 159 | 159 | dist_log_ddm = !!sym("dist_log_ddm") - !!sym("dm1") |
|
| 160 | 160 | ) %>% |
|
| 161 | - | group_by(!!sym(code_destination), add = FALSE) %>% |
|
| 161 | + | group_by(!!sym(code_destination), .add = FALSE) %>% |
|
| 162 | 162 | mutate( |
|
| 163 | 163 | y_log_ddm = !!sym("y_log_ddm") - !!sym("ym2"), |
|
| 164 | 164 | dist_log_ddm = !!sym("dist_log_ddm") - !!sym("dm2") |
@@ -174,9 +174,9 @@
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| 174 | 174 | select(!!sym(code_origin), !!sym(code_destination), !!!syms(additional_regressors)) %>% |
|
| 175 | 175 | gather(!!sym("key"), !!sym("value"), -!!sym(code_origin), -!!sym(code_destination)) %>% |
|
| 176 | 176 | mutate(key = paste0(!!sym("key"), "_ddm")) %>% |
|
| 177 | - | group_by(!!sym(code_origin), !!sym("key"), add = FALSE) %>% |
|
| 177 | + | group_by(!!sym(code_origin), !!sym("key"), .add = FALSE) %>% |
|
| 178 | 178 | mutate(ddm = !!sym("value") - mean(!!sym("value"), na.rm = TRUE)) %>% |
|
| 179 | - | group_by(!!sym(code_destination), !!sym("key"), add = FALSE) %>% |
|
| 179 | + | group_by(!!sym(code_destination), !!sym("key"), .add = FALSE) %>% |
|
| 180 | 180 | mutate(ddm = !!sym("ddm") - mean(!!sym("value"), na.rm = TRUE)) %>% |
|
| 181 | 181 | ungroup() %>% |
|
| 182 | 182 | mutate(value = !!sym("ddm") + mean(!!sym("value"), na.rm = TRUE)) %>% |
@@ -87,11 +87,11 @@
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| 87 | 87 | #' # Executable in < 5 sec |
|
| 88 | 88 | #' library(dplyr) |
|
| 89 | 89 | #' data("gravity_no_zeros") |
|
| 90 | - | #' |
|
| 90 | + | #' |
|
| 91 | 91 | #' # Choose 5 countries for testing |
|
| 92 | 92 | #' countries_chosen <- c("AUS", "CHN", "GBR", "BRA", "CAN") |
|
| 93 | 93 | #' grav_small <- filter(gravity_no_zeros, iso_o %in% countries_chosen) |
|
| 94 | - | #' |
|
| 94 | + | #' |
|
| 95 | 95 | #' fit <- bvu( |
|
| 96 | 96 | #' dependent_variable = "flow", |
|
| 97 | 97 | #' distance = "distw", |
@@ -159,7 +159,7 @@
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| 159 | 159 | d <- d %>% |
|
| 160 | 160 | group_by(!!sym(code_origin)) %>% |
|
| 161 | 161 | mutate(mean_dist_log_1 = mean(!!sym("dist_log"), na.rm = TRUE)) %>% |
|
| 162 | - | group_by(!!sym(code_destination), add = FALSE) %>% |
|
| 162 | + | group_by(!!sym(code_destination), .add = FALSE) %>% |
|
| 163 | 163 | mutate(mean_dist_log_2 = mean(!!sym("dist_log"), na.rm = TRUE)) %>% |
|
| 164 | 164 | ungroup() %>% |
|
| 165 | 165 | mutate( |
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R/sils.R
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6
Commits
| Files | Coverage |
|---|---|
| Project Totals (17 files) | 84.61% |
d6d5041a379c0042451312cb2974817a40d698ee1e