CRAN Package Check Results for Package BayesRTMB

Last updated on 2026-06-15 06:53:20 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.1 35.92 217.87 253.79 OK
r-devel-linux-x86_64-debian-gcc 0.1.1 26.42 142.78 169.20 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.1 73.00 347.13 420.13 OK
r-devel-linux-x86_64-fedora-gcc 0.1.1 66.00 354.93 420.93 OK
r-devel-windows-x86_64 0.1.1 39.00 207.00 246.00 ERROR
r-patched-linux-x86_64 0.1.1 40.23 204.42 244.65 OK
r-release-linux-x86_64 0.1.1 38.98 206.34 245.32 OK
r-release-macos-arm64 0.1.1 9.00 50.00 59.00 OK
r-release-macos-x86_64 0.1.1 8.00 ERROR
r-release-windows-x86_64 0.1.1 40.00 220.00 260.00 OK
r-oldrel-macos-arm64 0.1.1 OK
r-oldrel-macos-x86_64 0.1.1 25.00 202.00 227.00 OK
r-oldrel-windows-x86_64 0.1.1 55.00 283.00 338.00 OK

Check Details

Version: 0.1.1
Check: examples
Result: ERROR Running examples in ‘BayesRTMB-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: rtmb_fa > ### Title: RTMB-based Factor Analysis Wrapper > ### Aliases: rtmb_fa > > ### ** Examples > > > # Prepare a subset of the BigFive dataset for factor analysis > data(BigFive, package = "BayesRTMB") > fa_data <- BigFive[, 1:10] > > # --- 1. Standard Exploratory Factor Analysis (1 Factor) --- > fit_fa1 <- rtmb_fa(data = fa_data, nfactors = 1) Pre-checking model code... Checking RTMB setup... > > # Maximum A Posteriori (MAP) estimation > map_fa1 <- fit_fa1$optimize() Starting RTMB optimization... > map_fa1$summary() Call: MAP Estimation via RTMB Negative Log-Posterior: 2485.47 Approx. Log Marginal Likelihood (Laplace): -2535.33 Point Estimates and 95% Wald CI: variable Estimate Std. Error Lower 95% Upper 95% L[BF1,Factor1] 0.05250 0.08868 -0.12130 0.22630 L[BF2,Factor1] 0.79972 0.07145 0.65968 0.93976 L[BF3,Factor1] -0.13478 0.08707 -0.30542 0.03587 L[BF4,Factor1] -0.20465 0.08257 -0.36649 -0.04282 L[BF5,Factor1] -0.14443 0.08455 -0.31015 0.02128 L[BF6,Factor1] -0.00682 0.08660 -0.17655 0.16291 L[BF7,Factor1] 0.84338 0.07318 0.69994 0.98681 L[BF8,Factor1] -0.24816 0.08298 -0.41080 -0.08551 L[BF9,Factor1] -0.11264 0.08648 -0.28214 0.05686 L[BF10,Factor1] 0.21358 0.08794 0.04122 0.38593 > > > > # --- 2. Factor Analysis with Rotation and Factor Scores (2 Factors) --- > # Extract 2 factors, apply Promax rotation during model fitting, and calculate factor scores > fit_fa2 <- rtmb_fa(data = fa_data, nfactors = 2, rotate = "promax", score = TRUE) Pre-checking model code... Checking RTMB setup... Error: Failed to setup MakeADFun. [Error]: [Error in 'transform' block] [Message]: '*this' is not a valid 'advector' (constructed using illegal operation?) [Location]: Unknown location Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.1
Check: examples
Result: ERROR Running examples in 'BayesRTMB-Ex.R' failed The error most likely occurred in: > ### Name: rtmb_fa > ### Title: RTMB-based Factor Analysis Wrapper > ### Aliases: rtmb_fa > > ### ** Examples > > > # Prepare a subset of the BigFive dataset for factor analysis > data(BigFive, package = "BayesRTMB") > fa_data <- BigFive[, 1:10] > > # --- 1. Standard Exploratory Factor Analysis (1 Factor) --- > fit_fa1 <- rtmb_fa(data = fa_data, nfactors = 1) Pre-checking model code... Checking RTMB setup... > > # Maximum A Posteriori (MAP) estimation > map_fa1 <- fit_fa1$optimize() Starting RTMB optimization... > map_fa1$summary() Call: MAP Estimation via RTMB Negative Log-Posterior: 2485.47 Approx. Log Marginal Likelihood (Laplace): -2535.33 Point Estimates and 95% Wald CI: variable Estimate Std. Error Lower 95% Upper 95% L[BF1,Factor1] 0.05250 0.08868 -0.12130 0.22630 L[BF2,Factor1] 0.79972 0.07145 0.65968 0.93976 L[BF3,Factor1] -0.13478 0.08707 -0.30542 0.03587 L[BF4,Factor1] -0.20465 0.08257 -0.36649 -0.04282 L[BF5,Factor1] -0.14443 0.08455 -0.31015 0.02128 L[BF6,Factor1] -0.00682 0.08660 -0.17655 0.16291 L[BF7,Factor1] 0.84338 0.07318 0.69994 0.98681 L[BF8,Factor1] -0.24816 0.08298 -0.41080 -0.08551 L[BF9,Factor1] -0.11264 0.08648 -0.28214 0.05686 L[BF10,Factor1] 0.21358 0.08794 0.04122 0.38593 > > > > # --- 2. Factor Analysis with Rotation and Factor Scores (2 Factors) --- > # Extract 2 factors, apply Promax rotation during model fitting, and calculate factor scores > fit_fa2 <- rtmb_fa(data = fa_data, nfactors = 2, rotate = "promax", score = TRUE) Pre-checking model code... Checking RTMB setup... Error: Failed to setup MakeADFun. [Error]: [Error in 'transform' block] [Message]: '*this' is not a valid 'advector' (constructed using illegal operation?) [Location]: Unknown location Execution halted Flavor: r-devel-windows-x86_64

Version: 0.1.1
Check: package dependencies
Result: ERROR Package required but not available: ‘RTMB’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavor: r-release-macos-x86_64