update package skelaton

jbytecode · jbytecode · commit fc05771b0a2e · 2022-07-22T19:39:43.000+03:00
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -3,14 +3,14 @@ Type: Package
 Title: An Algorithm for Reducing Errors-in-Variable Bias in Simple
         Linear Regression
 Version: 3.1
-Date: 2021-05-28
+Date: 2022-07-22
 Author: Mehmet Hakan Satman (Ph.D.), Erkin Diyarbakirlioglu (Ph.D.)
 Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>
 Description: Performs a compact genetic algorithm search to reduce errors-in-variables bias in linear regression. The algorithm estimates the regression parameters with lower biases and higher variances but mean-square errors (MSEs) are reduced.  
 License: GPL
-Imports: Rcpp (>= 0.11.1)
+Imports: Rcpp (>= 0.11.1), compiler(>= 2.0.0)
 LinkingTo: Rcpp
-Packaged: 2018-05-16 19:05:15 UTC; jbytecode
+Packaged: 2022-07-22 19:34:15 UTC; jbytecode
 NeedsCompilation: yes
 Repository: CRAN
 Date/Publication: 2018-05-16 21:38:11 UTC
diff --git a/NAMESPACE b/NAMESPACE
@@ -2,6 +2,7 @@ useDynLib(eive)
 exportPattern("^[[:alpha:]]+")
 importFrom(Rcpp, evalCpp)
 importFrom("stats", "lm", "lm.fit", "rnorm")
+importFrom(compiler, cmpfun)
 export(eive.cga, eivem)
 
 
diff --git a/R/eivem.R b/R/eivem.R
@@ -1,3 +1,5 @@
+library(compiler)
+
 eivem <- function(dirtyx, otherx = NULL, y, numdummies = 10, popsize = 20) {
   ols_dirty <- list()
   ols_proxy <- NULL
diff --git a/man/eivem.Rd b/man/eivem.Rd
@@ -15,7 +15,7 @@ Vector of values of independent variable measured with error
 Matrix of other independent variables.
 }
   \item{y}{
-Vector of values of dependent variable
+Matrix of values of dependent variables. In column represent a single Y, each row represents an observation. So y is an nxp matrix of p dependent variables.
 }
   \item{numdummies}{
 Number of dummy variables used in algorithm. By default, it is 10.
diff --git a/src/symbols.rds b/src/symbols.rds

Original file line number	Diff line number	Diff line change
`@@ -1,3 +1,5 @@`
	`1`	`+library(compiler)`
	`2`	`+`
`1`	`3`	`eivem <- function(dirtyx, otherx = NULL, y, numdummies = 10, popsize = 20) {`
`2`	`4`	`ols_dirty <- list()`
`3`	`5`	`ols_proxy <- NULL`
Original file line number	Diff line number	Diff line change
`@@ -15,7 +15,7 @@ Vector of values of independent variable measured with error`
`15`	`15`	`Matrix of other independent variables.`
`16`	`16`	`}`
`17`	`17`	`\item{y}{`
`18`		`-Vector of values of dependent variable`
	`18`	`+Matrix of values of dependent variables. In column represent a single Y, each row represents an observation. So y is an nxp matrix of p dependent variables.`
`19`	`19`	`}`
`20`	`20`	`\item{numdummies}{`
`21`	`21`	`Number of dummy variables used in algorithm. By default, it is 10.`