version 0.5.2

Author: jolars

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: SLOPE
 Title: Sorted L1 Penalized Estimation
-Version: 0.5.1
+Version: 0.5.2
 Authors@R: 
     c(
       person(
@@ -91,7 +91,7 @@ URL: https://jolars.github.io/SLOPE/, https://github.com/jolars/SLOPE
 BugReports: https://github.com/jolars/SLOPE/issues
 VignetteBuilder: knitr
 NeedsCompilation: yes
-Packaged: 2024-07-09 14:08:00 UTC; gerd-jln
+Packaged: 2025-02-01 21:45:14 UTC; jola
 Author: Johan Larsson [aut, cre] (<https://orcid.org/0000-0002-4029-5945>),
   Jonas Wallin [aut] (<https://orcid.org/0000-0003-0381-6593>),
   Malgorzata Bogdan [aut],
@@ -112,4 +112,4 @@ Author: Johan Larsson [aut, cre] (<https://orcid.org/0000-0002-4029-5945>),
   Akarsh Goyal [ctb]
 Maintainer: Johan Larsson <johanlarsson@outlook.com>
 Repository: CRAN
-Date/Publication: 2024-07-09 15:10:02 UTC
+Date/Publication: 2025-02-01 23:00:06 UTC

MD5

@@ -1,6 +1,6 @@
-5c5ea9a81067f8c2bba4e26b138ca51a *DESCRIPTION
+e1c8346a1df818af2e6dbc289c0e385d *DESCRIPTION
 18fedfd8eae63b104b5f15f92d36cdf1 *NAMESPACE
-ef85d59027dd0a4dbfbd7992fdfa8a52 *NEWS.md
+753c29d5e56e12a70910eb8455a83236 *NEWS.md
 e6101d12bebebe2713d54dba8998650c *R/RcppExports.R
 339cddd798ae4c5da0dfef56343665cf *R/SLOPE-package.R
 d55734e947b14b994bd5a9e9968510f4 *R/SLOPE.R
@@ -20,10 +20,10 @@ f408f2e36bf89f95f4fdb113fb6247b7 *R/predict.R
 75943beaa67b81c61a9a7c8dc35eecc5 *R/score.R
 7b6d2ae94022f9cd2640f043936b87a1 *R/setupDiagnostics.R
 9558e85949556591eb476c9f8adaa38b *R/sortedL1Prox.R
-cbe984040fe470cc12a15d2af96e9a60 *R/trainSLOPE.R
+05cb2ebd05041c145f6241e037c1a608 *R/trainSLOPE.R
 f257b6e6881542722f539b03e48dc640 *R/utils.R
 0c44b5212386c7d73dc57ecb58b60d0a *README.md
-705ca8b0a29fc2afadeeb074f24affae *build/vignette.rds
+dbdeee962f2e060f8088bdab647849b4 *build/vignette.rds
 c04f85e3405f4784e024bb687250189f *data/abalone.rda
 5d3f5c2c57f43fe983a36260d5125b4d *data/bodyfat.rda
 cc0c30d7d52f659b939ac900912ad8fa *data/heart.rda
@@ -34,10 +34,10 @@ b0d419a95e50e3017f6cc3852e844188 *inst/CITATION
 f9137945832be521f38cca1cdecd28d8 *inst/WORDLIST
 5a264088415d45ae0758c68c81398d31 *inst/doc/introduction.R
 cdb6b0306b843912cf84328ad3edae62 *inst/doc/introduction.Rmd
-caa3b20d768c225d01e6f78dc282daf4 *inst/doc/introduction.html
+cf3b1ceb6053334da8fbac116f24a52f *inst/doc/introduction.html
 6ec849b3cbea67d762f4abb32a580b76 *inst/doc/prox-algs.R
 b74e947d4398732553ce2f2ad364c39d *inst/doc/prox-algs.Rmd
-5c5a77985d95d540646218cb1bedac00 *inst/doc/prox-algs.html
+3868ebce6a6ebdd5526d09bc301ae82f *inst/doc/prox-algs.html
 b99cc6b92f1f18fef9deae4778e6c449 *man/SLOPE-package.Rd
 a05b668a4a585087f474f08ddedff063 *man/SLOPE.Rd
 80e2da8f58c1883ea4d5bf77eb09541e *man/abalone.Rd
@@ -63,35 +63,35 @@ e934ba98b915699566c71d2844a5c3f1 *man/trainSLOPE.Rd
 cb812cbc56838d6f95f69451e1c1bc77 *man/wine.Rd
 78b135f40a6ffede8977f22353554493 *src/Makevars
 db0009515144528a931be262a59b36a9 *src/RcppExports.cpp
-2d5fd45de227c7bb39abee75d34cc5e7 *src/Results.cpp
+ed862aaf2e030fecd36fdc98168cdcc4 *src/Results.cpp
 de3c0e1bfb59786c2ad0a43f77593938 *src/Results.h
 ec04fe0761f42dbaca0d453ae506f285 *src/SLOPE.h
-5fa147de19af0b84bdf52b5c3514f440 *src/SolverResults.cpp
+e2808d0a62140fefd8289edf20acc900 *src/SolverResults.cpp
 5c720416e4ffbc82d7618e94532f7f41 *src/SolverResults.h
-f969682d7f6459c971abfaf2d419960e *src/families/binomial.h
+299dfbdf76d3b488d6367d5d58603538 *src/families/binomial.h
 31f980c8f2c20e3b5cfb0b043ab6c36f *src/families/families.h
-c557afe568e2aa6545a58a52cfc8556a *src/families/family.h
-f2c906fda1f5f56d53686bfefdb943f1 *src/families/gaussian.h
-adcc1dca488d0a1689e87a66ede665ca *src/families/multinomial.h
-453a6ce5230e4dabf325208604d2f679 *src/families/poisson.h
+1cf23e7d907415bbbb097db7920f3fa4 *src/families/family.h
+3512326ff12f991c4235d7ba4d4ea26c *src/families/gaussian.h
+dd20771e6d09e26750933fd9bf85e0e1 *src/families/multinomial.h
+af66c615adc681ce6e65e704774425a5 *src/families/poisson.h
 d1fc67101ff91a1bc00aa3e5688fc965 *src/infeasibility.h
 39e3e01a82417ee7c4db675298335f30 *src/kktCheck.cpp
 01492f3ef9630647a705d2a5e2538816 *src/kktCheck.h
 777b13b90c93c222b69262e315d2553c *src/lambdaMax.h
-be0ef4ae8a2554147076e53644079dd9 *src/lambdaSequence.cpp
+6cc1c509d15ca77c85625fe8589d68c7 *src/lambdaSequence.cpp
 d755f016c044b9f6900678727f8f5906 *src/lambdaSequence.h
 afee5a1eafacec0e19a56a033e061532 *src/prox.cpp
-c497830221967e13717387bd9dfa2623 *src/prox.h
+c8efd5a5d662d296d709c1c49deed30f *src/prox.h
 71a15c4ac38242e8b47c98465a29b7bb *src/r-exports.cpp
-42450f468aee8d47c7561eb797cd27ff *src/rcppSLOPE.cpp
-6916530bba92d804fc513ebde269cef6 *src/regularizationPath.h
+1065a6cbb135d473ca80002ce5b22d6a *src/rcppSLOPE.cpp
+4ede71d53fae2eeeee5f4c3e84da1138 *src/regularizationPath.h
 bd396040825886f633eaf13dc8b62b33 *src/rescale.cpp
-5cc8e6bf50b14a8f41d25602133f2aaf *src/rescale.h
+7a94f2e35d7c1ada5cf5a5fd34b5bd36 *src/rescale.h
 33ee08e084040fc8995d2b894b2913fb *src/screening.cpp
 4a8cb45cec6fe0d982c0d2cff9cf82a6 *src/screening.h
 1114d2407c6868def4a37fe8daaa382d *src/standardize.cpp
 b22da5c77209ca2ccb623448bafa57ad *src/standardize.h
-f0f163d457ff27707b6be2ec402eefcf *src/utils.h
+c276aa8254d256983e93b9b751b1c084 *src/utils.h
 0b179776d0899ee28d9c5250b89436a5 *tests/figs/binom_plot_trainedSLOPE-in-test.svg
 7f5dd86a61ed254c48ea78703a8aeecb *tests/figs/diagnostics-in-test.svg
 7153f97ce806d8c6a5471298ee11acb3 *tests/figs/plot.SLOPE-in-test.svg

NEWS.md

@@ -1,3 +1,10 @@
+# SLOPE 0.5.2
+
+## Bug Fixes
+
+- Fixed bug when computing regularization weights for type `"gaussian"` when the
+  number of observations is less than the number of variables.
+
 # SLOPE 0.5.1
 
 ## Minor Changes

R/trainSLOPE.R

@@ -214,19 +214,20 @@ trainSLOPE <- function(x,
   rownames(summary) <- NULL
   rownames(optima) <- NULL
 
-  structure(list(
-    summary = summary,
-    data = d,
-    optima = optima,
-    measure = data.frame(
-      measure = measure,
-      label = labels,
-      row.names = NULL,
-      stringsAsFactors = FALSE
+  structure(
+    list(
+      summary = summary,
+      data = d,
+      optima = optima,
+      measure = data.frame(
+        measure = measure,
+        label = labels,
+        row.names = NULL,
+        stringsAsFactors = FALSE
+      ),
+      model = fit,
+      call = ocall
     ),
-    model = fit,
-    call = ocall
-  ),
-  class = "TrainedSLOPE"
+    class = "TrainedSLOPE"
   )
 }

build/vignette.rds

@@ -24,4 +24,5 @@ Results::Results(const arma::cube betas,
   , violations(violations)
   , alpha(alpha)
   , lambda(lambda)
-{}
+{
+}

inst/doc/introduction.html

@@ -15,4 +15,5 @@ SolverResults::SolverResults(arma::mat beta,
   , duals(duals)
   , time(time)
   , deviance(deviance)
-{}
+{
+}

inst/doc/prox-algs.html

@@ -9,7 +9,8 @@ class Binomial : public Family
   template<typename... Ts>
   Binomial(Ts... args)
     : Family(std::forward<Ts>(args)...)
-  {}
+  {
+  }
 
   double primal(const arma::mat& y, const arma::mat& lin_pred)
   {