CRAN Package Check Results for Maintainer Matt Dancho <mdancho at business-science.io>

CRAN Package Check Results for Maintainer ‘Matt Dancho <mdancho at business-science.io>’

Last updated on 2026-03-14 05:52:19 CET.

Package	ERROR	NOTE	OK
alphavantager			14
anomalize			14
correlationfunnel		2	12
modeltime			14
modeltime.ensemble			14
modeltime.resample			14
sweep	1		13
tidyquant	4		10
timetk			14

Version: 0.2.0
Check: dependencies in R code
Result: NOTE Namespace in Imports field not imported from: ‘utils’ All declared Imports should be used. Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Package modeltime

Current CRAN status: OK: 14

Package modeltime.ensemble

Current CRAN status: OK: 14

Package modeltime.resample

Current CRAN status: OK: 14

Package sweep

Current CRAN status: ERROR: 1, OK: 13

Version: 0.2.6
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘SW00_Introduction_to_sweep.Rmd’ using rmarkdown Quitting from SW00_Introduction_to_sweep.Rmd:65-74 [unnamed-chunk-4] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `fortify()`: ! `data` must be a <data.frame>, or an object coercible by `fortify()`, or a valid <data.frame>-like object coercible by `as.data.frame()`. Caused by error in `check_data_frame_like()`: ! `dim(data)` must return an <integer> of length 2. --- Backtrace: ▆ 1. ├─alcohol_sales_tbl %>% ggplot(aes(x = date, y = price)) 2. ├─ggplot2::ggplot(., aes(x = date, y = price)) 3. └─ggplot2:::ggplot.default(., aes(x = date, y = price)) 4. ├─ggplot2::fortify(data, ...) 5. └─ggplot2:::fortify.default(data, ...) 6. ├─rlang::try_fetch(...) 7. │ ├─base::tryCatch(...) 8. │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 9. │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 10. │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 11. │ └─base::withCallingHandlers(...) 12. └─ggplot2:::validate_as_data_frame(model) 13. └─ggplot2:::check_data_frame_like(data) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'SW00_Introduction_to_sweep.Rmd' failed with diagnostics: `data` must be a <data.frame>, or an object coercible by `fortify()`, or a valid <data.frame>-like object coercible by `as.data.frame()`. Caused by error in `check_data_frame_like()`: ! `dim(data)` must return an <integer> of length 2. --- failed re-building ‘SW00_Introduction_to_sweep.Rmd’ --- re-building ‘SW01_Forecasting_Time_Series_Groups.Rmd’ using rmarkdown [WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead. --- finished re-building ‘SW01_Forecasting_Time_Series_Groups.Rmd’ --- re-building ‘SW02_Forecasting_Multiple_Models.Rmd’ using rmarkdown Quitting from SW02_Forecasting_Multiple_Models.Rmd:67-67 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ $ operator is invalid for atomic vectors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Quitting from SW02_Forecasting_Multiple_Models.Rmd:67-67 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gas_prices_monthly_raw$price ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'SW02_Forecasting_Multiple_Models.Rmd' failed with diagnostics: $ operator is invalid for atomic vectors --- failed re-building ‘SW02_Forecasting_Multiple_Models.Rmd’ SUMMARY: processing the following files failed: ‘SW00_Introduction_to_sweep.Rmd’ ‘SW02_Forecasting_Multiple_Models.Rmd’ Error: Vignette re-building failed. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Package tidyquant

Current CRAN status: ERROR: 4, OK: 10

Version: 1.0.11
Check: examples
Result: ERROR Running examples in ‘tidyquant-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: tq_mutate > ### Title: Mutates quantitative data > ### Aliases: tq_mutate tq_mutate_ tq_mutate_xy tq_mutate_xy_ > ### tq_mutate_fun_options tq_transmute tq_transmute_ tq_transmute_xy > ### tq_transmute_xy_ tq_transmute_fun_options > > ### ** Examples > > # Load libraries > library(dplyr) ######################### Warning from 'xts' package ########################## # # # The dplyr lag() function breaks how base R's lag() function is supposed to # # work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or # # source() into this session won't work correctly. # # # # Use stats::lag() to make sure you're not using dplyr::lag(), or you can add # # conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop # # dplyr from breaking base R's lag() function. # # # # Code in packages is not affected. It's protected by R's namespace mechanism # # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning. # # # ############################################################################### Attaching package: ‘dplyr’ The following objects are masked from ‘package:xts’: first, last The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union > > ##### Basic Functionality > > fb_stock_prices <- tidyquant::FANG %>% + filter(symbol == "META") %>% + filter( + date >= "2016-01-01", + date <= "2016-12-31" + ) > > goog_stock_prices <- FANG %>% + filter(symbol == "GOOG") %>% + filter( + date >= "2016-01-01", + date <= "2016-12-31" + ) > > # Example 1: Return logarithmic daily returns using periodReturn() > fb_stock_prices %>% + tq_mutate(select = close, mutate_fun = periodReturn, + period = "daily", type = "log") # A tibble: 252 × 9 symbol date open high low close volume adjusted daily.returns <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 1 META 2016-01-04 102. 102. 99.8 102. 37912400 102. 0 2 META 2016-01-05 103. 104. 102. 103. 23258200 103. 0.00498 3 META 2016-01-06 101. 104. 101. 103. 25096200 103. 0.00233 4 META 2016-01-07 100. 101. 97.3 97.9 45172900 97.9 -0.0503 5 META 2016-01-08 99.9 100. 97.0 97.3 35402300 97.3 -0.00604 6 META 2016-01-11 97.9 98.6 95.4 97.5 29932400 97.5 0.00185 7 META 2016-01-12 99 100.0 97.6 99.4 28395400 99.4 0.0189 8 META 2016-01-13 101. 101. 95.2 95.4 33410600 95.4 -0.0404 9 META 2016-01-14 95.8 98.9 92.4 98.4 48658600 98.4 0.0302 10 META 2016-01-15 94.0 96.4 93.5 95.0 45935600 95.0 -0.0352 # ℹ 242 more rows > > # Example 2: Use tq_mutate_xy to use functions with two columns required > fb_stock_prices %>% + tq_mutate_xy(x = close, y = volume, mutate_fun = EVWMA, + col_rename = "EVWMA") # A tibble: 252 × 9 symbol date open high low close volume adjusted EVWMA <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 1 META 2016-01-04 102. 102. 99.8 102. 37912400 102. NA 2 META 2016-01-05 103. 104. 102. 103. 23258200 103. NA 3 META 2016-01-06 101. 104. 101. 103. 25096200 103. NA 4 META 2016-01-07 100. 101. 97.3 97.9 45172900 97.9 NA 5 META 2016-01-08 99.9 100. 97.0 97.3 35402300 97.3 NA 6 META 2016-01-11 97.9 98.6 95.4 97.5 29932400 97.5 NA 7 META 2016-01-12 99 100.0 97.6 99.4 28395400 99.4 NA 8 META 2016-01-13 101. 101. 95.2 95.4 33410600 95.4 NA 9 META 2016-01-14 95.8 98.9 92.4 98.4 48658600 98.4 NA 10 META 2016-01-15 94.0 96.4 93.5 95.0 45935600 95.0 95.0 # ℹ 242 more rows > > # Example 3: Using tq_mutate to work with non-OHLC data > tq_get("DCOILWTICO", get = "economic.data") %>% + tq_mutate(select = price, mutate_fun = lag.xts, k = 1, na.pad = TRUE) Warning: x = 'DCOILWTICO', get = 'economic.data': Error in getSymbols.FRED(Symbols = "DCOILWTICO", env = <environment>, : Unable to import “DCOILWTICO”. cannot open the connection Error in tq_mutate_.default(data = data, select = lazyeval::expr_text(select), : data must be a tibble or data.frame object Calls: %>% -> tq_mutate -> tq_mutate_ -> tq_mutate_.default Execution halted Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64

Version: 1.0.11
Check: tests
Result: ERROR Running ‘testthat.R’ [8s/13s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(tidyquant) ── Attaching core tidyquant packages ─────────────────────── tidyquant 1.0.11 ── ✔ PerformanceAnalytics 2.0.8 ✔ quantmod 0.4.28 ✔ TTR 0.24.4 ✔ xts 0.14.2 ── Conflicts ────────────────────────────────────────── tidyquant_conflicts() ── ✖ zoo::as.Date() masks base::as.Date() ✖ zoo::as.Date.numeric() masks base::as.Date.numeric() ✖ PerformanceAnalytics::legend() masks graphics::legend() ✖ quantmod::summary() masks base::summary() ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors > > test_check("tidyquant") Saving _problems/test-tq_get_economic_data-20.R Saving _problems/test-tq_get_economic_data-21.R Saving _problems/test-tq_get_economic_data-25.R Saving _problems/test-tq_get_economic_data-27.R [ FAIL 4 | WARN 2 | SKIP 4 | PASS 63 ] ══ Skipped tests (4) ═══════════════════════════════════════════════════════════ • On CRAN (4): 'test-index-tq_index.R:16:5', 'test-index_tq_exchange.R:18:5', 'test-tq_portfolio.R:4:1', 'test-tq_transmute.R:2:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-tq_get_economic_data.R:20:5'): Test returns tibble with correct rows and columns. ── Expected `test1` to inherit from "character". Actual inheritance: "logical" ── Failure ('test-tq_get_economic_data.R:21:5'): Test returns tibble with correct rows and columns. ── Expected `test2` to inherit from "character". Actual inheritance: "logical" ── Failure ('test-tq_get_economic_data.R:25:5'): Test returns tibble with correct rows and columns. ── Expected `nrow(test1)` to equal 6. Differences: target is NULL, current is numeric ── Failure ('test-tq_get_economic_data.R:27:5'): Test returns tibble with correct rows and columns. ── Expected `ncol(test1)` to equal 3. Differences: target is NULL, current is numeric [ FAIL 4 | WARN 2 | SKIP 4 | PASS 63 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0.11
Check: examples
Result: ERROR Running examples in ‘tidyquant-Ex.R’ failed The error most likely occurred in: > ### Name: tq_mutate > ### Title: Mutates quantitative data > ### Aliases: tq_mutate tq_mutate_ tq_mutate_xy tq_mutate_xy_ > ### tq_mutate_fun_options tq_transmute tq_transmute_ tq_transmute_xy > ### tq_transmute_xy_ tq_transmute_fun_options > > ### ** Examples > > # Load libraries > library(dplyr) ######################### Warning from 'xts' package ########################## # # # The dplyr lag() function breaks how base R's lag() function is supposed to # # work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or # # source() into this session won't work correctly. # # # # Use stats::lag() to make sure you're not using dplyr::lag(), or you can add # # conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop # # dplyr from breaking base R's lag() function. # # # # Code in packages is not affected. It's protected by R's namespace mechanism # # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning. # # # ############################################################################### Attaching package: ‘dplyr’ The following objects are masked from ‘package:xts’: first, last The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union > > ##### Basic Functionality > > fb_stock_prices <- tidyquant::FANG %>% + filter(symbol == "META") %>% + filter( + date >= "2016-01-01", + date <= "2016-12-31" + ) > > goog_stock_prices <- FANG %>% + filter(symbol == "GOOG") %>% + filter( + date >= "2016-01-01", + date <= "2016-12-31" + ) > > # Example 1: Return logarithmic daily returns using periodReturn() > fb_stock_prices %>% + tq_mutate(select = close, mutate_fun = periodReturn, + period = "daily", type = "log") # A tibble: 252 × 9 symbol date open high low close volume adjusted daily.returns <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 1 META 2016-01-04 102. 102. 99.8 102. 37912400 102. 0 2 META 2016-01-05 103. 104. 102. 103. 23258200 103. 0.00498 3 META 2016-01-06 101. 104. 101. 103. 25096200 103. 0.00233 4 META 2016-01-07 100. 101. 97.3 97.9 45172900 97.9 -0.0503 5 META 2016-01-08 99.9 100. 97.0 97.3 35402300 97.3 -0.00604 6 META 2016-01-11 97.9 98.6 95.4 97.5 29932400 97.5 0.00185 7 META 2016-01-12 99 100.0 97.6 99.4 28395400 99.4 0.0189 8 META 2016-01-13 101. 101. 95.2 95.4 33410600 95.4 -0.0404 9 META 2016-01-14 95.8 98.9 92.4 98.4 48658600 98.4 0.0302 10 META 2016-01-15 94.0 96.4 93.5 95.0 45935600 95.0 -0.0352 # ℹ 242 more rows > > # Example 2: Use tq_mutate_xy to use functions with two columns required > fb_stock_prices %>% + tq_mutate_xy(x = close, y = volume, mutate_fun = EVWMA, + col_rename = "EVWMA") # A tibble: 252 × 9 symbol date open high low close volume adjusted EVWMA <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 1 META 2016-01-04 102. 102. 99.8 102. 37912400 102. NA 2 META 2016-01-05 103. 104. 102. 103. 23258200 103. NA 3 META 2016-01-06 101. 104. 101. 103. 25096200 103. NA 4 META 2016-01-07 100. 101. 97.3 97.9 45172900 97.9 NA 5 META 2016-01-08 99.9 100. 97.0 97.3 35402300 97.3 NA 6 META 2016-01-11 97.9 98.6 95.4 97.5 29932400 97.5 NA 7 META 2016-01-12 99 100.0 97.6 99.4 28395400 99.4 NA 8 META 2016-01-13 101. 101. 95.2 95.4 33410600 95.4 NA 9 META 2016-01-14 95.8 98.9 92.4 98.4 48658600 98.4 NA 10 META 2016-01-15 94.0 96.4 93.5 95.0 45935600 95.0 95.0 # ℹ 242 more rows > > # Example 3: Using tq_mutate to work with non-OHLC data > tq_get("DCOILWTICO", get = "economic.data") %>% + tq_mutate(select = price, mutate_fun = lag.xts, k = 1, na.pad = TRUE) Warning: x = 'DCOILWTICO', get = 'economic.data': Error in getSymbols.FRED(Symbols = "DCOILWTICO", env = <environment>, : Unable to import “DCOILWTICO”. cannot open the connection Error in tq_mutate_.default(data = data, select = lazyeval::expr_text(select), : data must be a tibble or data.frame object Calls: %>% -> tq_mutate -> tq_mutate_ -> tq_mutate_.default Execution halted Flavors: r-devel-linux-x86_64-fedora-gcc, r-oldrel-windows-x86_64

Package timetk

Current CRAN status: OK: 14