use apache license

Author: pachadotdev

DESCRIPTION

@@ -1,20 +1,24 @@
 Package: cpp4r
 Title: A C++ Interface for R's C Interface
-Version: 0.5.2.9000
-Authors@R:
-    c(
-      person("Davis", "Vaughan", email = "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4777-038X")),
-      person("Jim","Hester", role = "aut", comment = c(ORCID = "0000-0002-2739-7082")),
-      person("Romain", "François", role = "aut", comment = c(ORCID = "0000-0002-2444-4226")),
-      person("Benjamin", "Kietzman", role = "ctb"),
-      person("Posit Software, PBC", role = c("cph", "fnd"))
+Version: 0.1.0
+Authors@R: c(
+    person(
+        given = "Mauricio",
+        family = "Vargas Sepulveda",
+        role = c("aut", "cre"),
+        email = "[email protected]",
+        comment = c(ORCID = "0000-0003-1017-7574")),
+    person(
+        family = "Posit Software, PBC",
+        role = "aut",
+        comment = c("Original cpp11 package"))
     )
 Description: Provides a header only, C++ interface to R's C
     interface.  Compared to other approaches 'cpp4r' strives to be safe
     against long jumps from the C API as well as C++ exceptions, conform
     to normal R function semantics and supports interaction with 'ALTREP'
     vectors.
-License: MIT + file LICENSE
+License: Apache License (>= 2)
 URL: https://cpp4r.org, https://github.com/pachadotdev/cpp4r
 BugReports: https://github.com/pachadotdev/cpp4r/issues
 Depends:

LICENSE.md

@@ -1,21 +1,194 @@
-# MIT License
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-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+Apache License
+==============
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man/cpp4r-package.Rd

@@ -12,11 +12,11 @@ editor:
 
 # Motivation
 
-@cpp4r is better used when adding C++ code to R packages, as it allows for proper script organization and documentation. The reference for this chapter is @usethis.
+@cpp4r is better used when adding C++ code to R packages, as it allows for proper script organization and documentation. The reference for this vignette is @usethis.
 
 # Loading the Required R Packages
 
-This chapter and the next use the following R packages:
+This vignette and the next use the following R packages:
 
 ```r
 library(cpp4r)

vignettes/03-package-skeleton.rmd

@@ -12,7 +12,7 @@ editor:
 
 # Motivation
 
-@vaughan already provides some details. This chapter expands on the differences between `cpp4r` and `Rcpp`.
+@vaughan already provides some details. This vignette expands on the differences between `cpp4r` and `Rcpp`.
 
 # Read and write
 

vignettes/04-read-only.rmd

@@ -12,13 +12,13 @@ editor:
 
 # Motivation
 
-This chapter covers the implementation of simple logical functions in C++ and R. The goal is to show the syntax differences between the two languages and compare their performance. These examples were adapted from @vaughan.
+This vignette covers the implementation of simple logical functions in C++ and R. The goal is to show the syntax differences between the two languages and compare their performance. These examples were adapted from @vaughan.
 
 # Fair Warning
 
-These functions ignore `NA` values. Adjustments for handling `NA` values will be introduced in the sixth chapter.
+These functions ignore `NA` values. Adjustments for handling `NA` values will be introduced in the sixth vignette.
 
-R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later chapters.
+R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later vignettes.
 
 # Load the Package
 

vignettes/06-logical-functions.rmd

@@ -12,13 +12,13 @@ editor:
 
 # Motivation
 
-This chapter covers the implementation of simple rolling functions in C++ and R. The goal is to show the syntax differences between the two languages and compare their performance. These examples were adapted from @vaughan.
+This vignette covers the implementation of simple rolling functions in C++ and R. The goal is to show the syntax differences between the two languages and compare their performance. These examples were adapted from @vaughan.
 
 # Fair Warning
 
-These functions ignore `NA` values. Adjustments for handling `NA` values will be introduced in the sixth chapter.
+These functions ignore `NA` values. Adjustments for handling `NA` values will be introduced in the sixth vignette.
 
-R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later chapters.
+R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later vignettes.
 
 # Load the Package
 

vignettes/07-rolling-functions.rmd

@@ -12,13 +12,13 @@ editor:
 
 # Motivation
 
-This chapter covers the implementation of simple statistical functions in C++ and R. The goal is to show the syntax differences between the two languages and compare their performance.
+This vignette covers the implementation of simple statistical functions in C++ and R. The goal is to show the syntax differences between the two languages and compare their performance.
 
 # Fair Warning
 
-These functions ignore `NA` values. Adjustments for handling `NA` values will be introduced in the sixth chapter.
+These functions ignore `NA` values. Adjustments for handling `NA` values will be introduced in the sixth vignette.
 
-R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later chapters.
+R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later vignettes.
 
 # Statistical details
 

vignettes/08-statistical-functions.rmd

@@ -12,9 +12,9 @@ editor:
 
 # Motivation
 
-This chapter expands Chapter 6 by using the same methods from Chapter 6. These examples were adapted from @vaughan.
+This vignette expands vignette 6 by using the same methods from vignette 6. These examples were adapted from @vaughan.
 
-R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later chapters.
+R already provides efficient versions of the functions covered here. Code optimizations and improvements will be made in later vignettes.
 
 # Load the Package
 
@@ -61,7 +61,7 @@ The `any()` function returns `TRUE` if there is at least one `TRUE` element in a
 }
 ```
 
-Unlike the `any()` function from Chapter 6, this function has an additional argument `na_rm` that allows the user to remove missing values from the consideration.
+Unlike the `any()` function from vignette 6, this function has an additional argument `na_rm` that allows the user to remove missing values from the consideration.
 
 The corresponding auxiliary function for documentation is:
 

vignettes/09-logical-functions-2.rmd

@@ -12,7 +12,7 @@ editor:
 
 # Motivation
 
-This chapter expands Chapter 5 by using the same methods from Chapter 5. These examples were adapted from @vaughan.
+This vignette expands vignette 5 by using the same methods from vignette 5. These examples were adapted from @vaughan.
 
 # Load the Package
 
@@ -73,7 +73,7 @@ The next function returns the cumulative sum of the elements of a vector:
 }
 ```
 
-Unlike the `cumsum()` function from Chapter 5, this function has an additional argument `na_rm` that allows the user to remove missing values (including `NaN`) from the vector.
+Unlike the `cumsum()` function from vignette 5, this function has an additional argument `na_rm` that allows the user to remove missing values (including `NaN`) from the vector.
 
 The corresponding auxiliary function for documentation is: