Bug description
Calling plot() on a GeoLiftMarketSelection object fails with the internal error "Two versions of estimated impacts do not correspond. Serious error. Please contact package maintainers." The error originates in augsynth's get_placebo_gaps() during the permutation inference step (add_placebo_distribution).
This is fully reproducible using the package's own example dataset (GeoLift_PreTest), so it is not specific to user data. It occurs with multiple treated locations (the recommended markets here have 2–3 locations). The GeoLiftMarketSelection() call itself completes successfully and returns the recommendations table; only the subsequent plot() fails.
Session information
R version 4.6.0 (2026-04-24)
Platform: aarch64-apple-darwin23
Running under: macOS Tahoe 26.4.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
locale:
[1] C.UTF-8/UTF-8/C.UTF-8/C/C.UTF-8/C.UTF-8
time zone: America/Sao_Paulo
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] dplyr_1.2.1 tidyr_1.3.2 augsynth_0.2.0 GeoLift_2.7.5
loaded via a namespace (and not attached):
[1] tidyselect_1.2.1 IRdisplay_1.1 farver_2.1.2
[4] S7_0.2.2 fastmap_1.2.0 GGally_2.4.0
[7] fixest_0.14.1 digest_0.6.39 lifecycle_1.0.5
[10] dreamerr_1.5.0 magrittr_2.0.5 compiler_4.6.0
[13] rlang_1.2.0 progress_1.2.3 rngtools_1.5.2
[16] tools_4.6.0 utf8_1.2.6 knitr_1.51
[19] labeling_0.4.3 prettyunits_1.2.0 doRNG_1.8.6.3
[22] plyr_1.8.9 repr_1.1.7 RColorBrewer_1.1-3
[25] abind_1.4-8 pbdZMQ_0.3-14 withr_3.0.2
[28] purrr_1.2.2 numDeriv_2016.8-1.1 grid_4.6.0
[31] xts_0.14.2 future_1.70.0 ggplot2_4.0.3
[34] globals_0.19.1 scales_1.4.0 iterators_1.0.14
[37] MASS_7.3-65 cli_3.6.6 mvtnorm_1.3-7
[40] crayon_1.5.3 generics_0.1.4 future.apply_1.20.2
[43] reshape2_1.4.5 directlabels_2026.4.23 proxy_0.4-29
[46] stringr_1.6.0 assertthat_0.2.1 parallel_4.6.0
[49] bsts_0.9.11 base64enc_0.1-6 stringmagic_1.2.0
[52] vctrs_0.7.3 Matrix_1.7-5 sandwich_3.1-1
[55] jsonlite_2.0.0 hms_1.1.4 Formula_1.2-5
[58] listenv_0.10.1 foreach_1.5.2 glue_1.8.1
[61] parallelly_1.47.0 dtw_1.23-2 ggstats_0.13.0
[64] codetools_0.2-20 fect_2.4.1 gsynth_1.4.0
[67] stringi_1.8.7 gtable_0.3.6 quadprog_1.5-8
[70] osqp_1.0.0 Boom_0.9.16 tibble_3.3.1
[73] pillar_1.11.1 htmltools_0.5.9 IRkernel_1.3.2
[76] R6_2.6.1 BoomSpikeSlab_1.2.7 panelView_1.3.1
[79] MarketMatching_1.2.1 doParallel_1.0.17 CausalImpact_1.4.1
[82] evaluate_1.0.5 lattice_0.22-9 Rcpp_1.1.1-1.1
[85] uuid_1.2-2 gridExtra_2.3 nlme_3.1-169
[88] xfun_0.57 zoo_1.8-15 pkgconfig_2.0.3
Reproduction steps
library(GeoLift)
data(GeoLift_PreTest)
GeoTestData_PreTest <- GeoDataRead(
data = GeoLift_PreTest,
date_id = "date",
location_id = "location",
Y_id = "Y",
X = c(),
format = "yyyy-mm-dd",
summary = TRUE
)
MarketSelections <- GeoLiftMarketSelection(
data = GeoTestData_PreTest,
treatment_periods = c(10),
N = c(2, 3),
Y_id = "Y",
location_id = "location",
time_id = "time",
effect_size = seq(0, 0.5, 0.05),
lookback_window = 1,
cpic = 1.0,
alpha = 0.1,
Correlations = TRUE,
fixed_effects = TRUE,
side_of_test = "two_sided"
)
this line throws the error:
plot(MarketSelections, market_ID = 1, print_summary = FALSE)
Expected behavior
plot(MarketSelections, market_ID = 1) should render the plot of observed vs. synthetic outcome for the selected market, as documented, instead of throwing an internal error from the inference step.
Error in get_placebo_gaps(augsynth, att = FALSE): Two versions of estimated impacts do not correspond. Serious error. Please contact package maintainers.
Bug description
Calling
plot()on aGeoLiftMarketSelectionobject fails with the internal error "Two versions of estimated impacts do not correspond. Serious error. Please contact package maintainers." The error originates inaugsynth'sget_placebo_gaps()during the permutation inference step (add_placebo_distribution).This is fully reproducible using the package's own example dataset (
GeoLift_PreTest), so it is not specific to user data. It occurs with multiple treated locations (the recommended markets here have 2–3 locations). TheGeoLiftMarketSelection()call itself completes successfully and returns the recommendations table; only the subsequentplot()fails.Session information
R version 4.6.0 (2026-04-24)
Platform: aarch64-apple-darwin23
Running under: macOS Tahoe 26.4.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
locale:
[1] C.UTF-8/UTF-8/C.UTF-8/C/C.UTF-8/C.UTF-8
time zone: America/Sao_Paulo
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] dplyr_1.2.1 tidyr_1.3.2 augsynth_0.2.0 GeoLift_2.7.5
loaded via a namespace (and not attached):
[1] tidyselect_1.2.1 IRdisplay_1.1 farver_2.1.2
[4] S7_0.2.2 fastmap_1.2.0 GGally_2.4.0
[7] fixest_0.14.1 digest_0.6.39 lifecycle_1.0.5
[10] dreamerr_1.5.0 magrittr_2.0.5 compiler_4.6.0
[13] rlang_1.2.0 progress_1.2.3 rngtools_1.5.2
[16] tools_4.6.0 utf8_1.2.6 knitr_1.51
[19] labeling_0.4.3 prettyunits_1.2.0 doRNG_1.8.6.3
[22] plyr_1.8.9 repr_1.1.7 RColorBrewer_1.1-3
[25] abind_1.4-8 pbdZMQ_0.3-14 withr_3.0.2
[28] purrr_1.2.2 numDeriv_2016.8-1.1 grid_4.6.0
[31] xts_0.14.2 future_1.70.0 ggplot2_4.0.3
[34] globals_0.19.1 scales_1.4.0 iterators_1.0.14
[37] MASS_7.3-65 cli_3.6.6 mvtnorm_1.3-7
[40] crayon_1.5.3 generics_0.1.4 future.apply_1.20.2
[43] reshape2_1.4.5 directlabels_2026.4.23 proxy_0.4-29
[46] stringr_1.6.0 assertthat_0.2.1 parallel_4.6.0
[49] bsts_0.9.11 base64enc_0.1-6 stringmagic_1.2.0
[52] vctrs_0.7.3 Matrix_1.7-5 sandwich_3.1-1
[55] jsonlite_2.0.0 hms_1.1.4 Formula_1.2-5
[58] listenv_0.10.1 foreach_1.5.2 glue_1.8.1
[61] parallelly_1.47.0 dtw_1.23-2 ggstats_0.13.0
[64] codetools_0.2-20 fect_2.4.1 gsynth_1.4.0
[67] stringi_1.8.7 gtable_0.3.6 quadprog_1.5-8
[70] osqp_1.0.0 Boom_0.9.16 tibble_3.3.1
[73] pillar_1.11.1 htmltools_0.5.9 IRkernel_1.3.2
[76] R6_2.6.1 BoomSpikeSlab_1.2.7 panelView_1.3.1
[79] MarketMatching_1.2.1 doParallel_1.0.17 CausalImpact_1.4.1
[82] evaluate_1.0.5 lattice_0.22-9 Rcpp_1.1.1-1.1
[85] uuid_1.2-2 gridExtra_2.3 nlme_3.1-169
[88] xfun_0.57 zoo_1.8-15 pkgconfig_2.0.3
Reproduction steps
library(GeoLift)
data(GeoLift_PreTest)
GeoTestData_PreTest <- GeoDataRead(
data = GeoLift_PreTest,
date_id = "date",
location_id = "location",
Y_id = "Y",
X = c(),
format = "yyyy-mm-dd",
summary = TRUE
)
MarketSelections <- GeoLiftMarketSelection(
data = GeoTestData_PreTest,
treatment_periods = c(10),
N = c(2, 3),
Y_id = "Y",
location_id = "location",
time_id = "time",
effect_size = seq(0, 0.5, 0.05),
lookback_window = 1,
cpic = 1.0,
alpha = 0.1,
Correlations = TRUE,
fixed_effects = TRUE,
side_of_test = "two_sided"
)
this line throws the error:
plot(MarketSelections, market_ID = 1, print_summary = FALSE)
Expected behavior
plot(MarketSelections, market_ID = 1)should render the plot of observed vs. synthetic outcome for the selected market, as documented, instead of throwing an internal error from the inference step.