automation

DESCRIPTION

 Package: cornet
 Version: 0.0.1
-Title: Elastic Net for Dichotomised Outcomes
+Title: Elastic Net with Dichotomised Outcomes
 Description: Implements lasso and ridge regression for dichotomised outcomes. (Such outcomes are not naturally but artificially binary.)
-Depends: R (>= 3.0.0)
+Depends: R (>= 3.5.0)
 Imports: glmnet, palasso
 Suggests: knitr, testthat
 Enhances: RColorBrewer

R/functions.R

@@ -4,10 +4,10 @@
 #' @export
 #' @aliases cornet-package
 #' @title
-#' Logistic regression with a continuous response
+#' Combined regression
 #' 
 #' @description
-#' Implements logistic regression with a continuous response
+#' Implements logistic regression for dichotomised outcomes
 #' in high-dimensional settings.
 #'  
 #' @param y

docs/index.html

@@ -5,11 +5,11 @@
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 <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>Elastic Net for Dichotomised Outcomes • cornet</title>
+<title>Elastic Net with Dichotomised Outcomes • cornet</title>
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-<script src="pkgdown.js"></script><meta property="og:title" content="Elastic Net for Dichotomised Outcomes">
+<script src="pkgdown.js"></script><meta property="og:title" content="Elastic Net with Dichotomised Outcomes">
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docs/reference/cornet.html

@@ -6,7 +6,7 @@
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1.0">
 
-<title>Logistic regression with a continuous response — cornet • cornet</title>
+<title>Combined regression — cornet • cornet</title>
 
 <!-- jquery -->
 <script src="https://code.jquery.com/jquery-3.1.0.min.js" integrity="sha384-nrOSfDHtoPMzJHjVTdCopGqIqeYETSXhZDFyniQ8ZHcVy08QesyHcnOUpMpqnmWq" crossorigin="anonymous"></script>
@@ -30,9 +30,9 @@
 
 
 
-<meta property="og:title" content="Logistic regression with a continuous response — cornet" />
+<meta property="og:title" content="Combined regression — cornet" />
 
-<meta property="og:description" content="Implements logistic regression with a continuous response
+<meta property="og:description" content="Implements logistic regression for dichotomised outcomes
 in high-dimensional settings." />
 <meta name="twitter:card" content="summary" />
 
@@ -113,14 +113,14 @@ in high-dimensional settings." />
 <div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
-    <h1>Logistic regression with a continuous response</h1>
+    <h1>Combined regression</h1>
     <small class="dont-index">Source: <a href='https://github.com/rauschenberger/cornet/blob/master/R/functions.R'><code>R/functions.R</code></a></small>
     <div class="hidden name"><code>cornet.Rd</code></div>
     </div>
 
     <div class="ref-description">
     
-    <p>Implements logistic regression with a continuous response
+    <p>Implements logistic regression for dichotomised outcomes
 in high-dimensional settings.</p>
     
     </div>

docs/reference/index.html

@@ -138,7 +138,7 @@
         <td>
           <p><code><a href="cornet.html">cornet()</a></code> </p>
         </td>
-        <td><p>Logistic regression with a continuous response</p></td>
+        <td><p>Combined regression</p></td>
       </tr><tr>
         
         <td>

man/cornet.Rd

@@ -3,7 +3,7 @@
 \name{cornet}
 \alias{cornet}
 \alias{cornet-package}
-\title{Logistic regression with a continuous response}
+\title{Combined regression}
 \usage{
 cornet(y, cutoff, X, alpha = 1, npi = 101, pi = NULL, nsigma = 99,
   sigma = NULL, nfolds = 10, foldid = NULL,
@@ -65,7 +65,7 @@ Returns an object of class \code{cornet}, a list with multiple slots:
 }
 }
 \description{
-Implements logistic regression with a continuous response
+Implements logistic regression for dichotomised outcomes
 in high-dimensional settings.
 }
 \details{

tests/testthat/test.R

 
+
 # data simulation
+set.seed(1)
 list <- cornet:::.simulate(n=100,p=200)
 y <- list$y; X <- list$X