377: Fix compiler warning for new CRAN hotfix (#381)

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: mmrm
 Title: Mixed Models for Repeated Measures
-Version: 0.3.6.9001
+Version: 0.3.7
 Authors@R: c(
     person("Daniel", "Sabanes Bove", , "[email protected]", role = c("aut", "cre")),
     person("Julia", "Dedic", , "[email protected]", role = "aut"),
@@ -27,7 +27,7 @@ Description: Mixed models for repeated measures (MMRM) are a popular
     choice for analyzing longitudinal continuous outcomes in randomized
     clinical trials and beyond; see Cnaan, Laird and Slasor (1997)
     <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>
-    for a tutorial and Mallinckrodt, Lane, Schnell et al. (2008)
+    for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008)
     <doi:10.1177/009286150804200402> for a review. This package implements
     MMRM based on the marginal linear model without random effects using
     Template Model Builder ('TMB') which enables fast and robust model

NEWS.md

@@ -1,8 +1,9 @@
-# mmrm 0.3.6.9001
+# mmrm 0.3.7
 
 ### Miscellaneous
 
 - In documentation of `mmrm_control()`, the allowed vcov definition is corrected to "Empirical-Jackknife" (CR3), and "Empirical-Bias-Reduced" (CR2).
+- Fix a compiler warning related to missing format specification in error message function call.
 
 # mmrm 0.3.6
 

inst/WORDLIST

@@ -1,126 +1,107 @@
-adh
-al
-ansi
-ar
-ast
 AstraZeneca
 BCVA
 Benchmarking
-blockdiag
 Boehringer
-boldsymbol
 Bolker
 Bove
-burnham
+COPD
+Cnaan
+DF
+DPD
+DeclareMathOperator
+Dohme
+FEV
+Gower
+Hoffmann
+Indexible
+Ingelheim
+Kenward
+LDL
+MMRMs
+MacOS
+Mallinckrodt
+Mancuso
+ORCID
+Optimizers
+Peng
+Raphson
+SAS's
+SICI
+Sabanes
+Satterthwaite
+Schnell
+Slasor
+TMB
+Tidymodels
+Toeplitz
+WLS
+adh
+ansi
+ar
+ast
+blockdiag
+boldsymbol
 cdots
 cli
-Cnaan
-config
-COPD
 cov
-cpp
 csh
 customizations
 ddots
 de
-DeclareMathOperator
 det
 df
-DF
-differiention
-Dohme
 doi
 dotsb
 dotsc
-DPD
 eigen
 emmeans
-et
-FEV
 factorizations
 frac
 funder
-galecki
-github
-gitignore
-glmmTMB
-gls
-Gower
 hj
-Hoffmann
-hurvich
 ih
 ihj
 ij
 ijk
 ik
 im
-Indexible
 indexible
 infty
-Ingelheim
-init
 intra
 jh
 ji
 jj
-Kenward
 kr
-LDL
 ldots
 leq
 lintr
-lmer
-MacOS
-Mallinckrodt
 mathbb
 mathcal
 mathop
 mathrm
-mmrm
-MMRM
-MMRMs
 na
 nabla
 ne
 newcommand
 nlminb
 nonidentifiability
 onLoad
-Optimizers
 optimizers
-ORCID
-parallelization
 parametrized
 pearson
 pkgdown
 plc
 pmatrix
 pre
-Quartile
-Raphson
 rightarrow
-Rmarkdown
-Sabanes
-SAS's
-Satterthwaite
-Schnell
-se
-SICI
 simeq
-Slasor
 sp
-src
 subfolders
 tabset
 th
-Tidymodels
 tidymodels
-TMB
-tmb
 toep
 toeph
-Toeplitz
 unadjusted
 unscaled
 untracked
@@ -129,8 +110,4 @@ varepsilon
 varphi
 vcov
 vdots
-VIS
 widehat
-WLS
-yaml
-yml

src/covariance.h

@@ -161,7 +161,7 @@ matrix<T> get_covariance_lower_chol(const vector<T>& theta, int n_visits, std::s
   } else if (cov_type == "csh") {
     result = get_compound_symmetry_heterogeneous<T>(theta, n_visits);
   } else {
-    Rf_error(("Unknown covariance type '" + cov_type + "'.").c_str());
+    Rf_error("%s", ("Unknown covariance type '" + cov_type + "'.").c_str());
   }
 
   return result;
@@ -174,7 +174,7 @@ matrix<T> get_spatial_covariance_lower_chol(const vector<T>& theta, const matrix
   if (cov_type == "sp_exp") {
     result = get_spatial_exponential<T>(theta, distance);
   } else {
-    Rf_error(("Unknown spatial covariance type '" + cov_type + "'.").c_str());
+    Rf_error("%s", ("Unknown spatial covariance type '" + cov_type + "'.").c_str());
   }
   return result;
 }