remove author info in r scripts (#109)

Author: SpatLyu

R/gd.R

@@ -1,5 +1,4 @@
 #' @title native geographical detector(GD) model
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @references
 #' Jin‐Feng Wang, Xin‐Hu Li, George Christakos, Yi‐Lan Liao, Tin Zhang, XueGu & Xiao‐Ying Zheng (2010)
 #' Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study
@@ -45,7 +44,6 @@ gd = \(formula, data, type = "factor", alpha = 0.95){
 }
 
 #' @title print GD result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for GD model from `gd()`.
 #'
@@ -65,7 +63,6 @@ print.gd_result = \(x, ...) {
 }
 
 #' @title plot GD result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for GD model result in `gd()`.
 #'

R/gd_optunidisc.R

@@ -1,5 +1,4 @@
 #' @title optimal univariate discretization based on geodetector q-statistic
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #'
 #' @param formula A formula.
 #' @param data A `data.frame`, `tibble` or `sf` object of observation data.

R/geodetector.R

@@ -1,5 +1,4 @@
 #' @title factor detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' The factor detector q-statistic measures the spatial stratified heterogeneity of a
 #' variable Y, or the determinant power of a covariate X of Y.
@@ -59,7 +58,6 @@ factor_detector = \(y,x,confintv = FALSE,alpha = 0.95){
 }
 
 #' @title interaction detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' Identify the interaction between different risk factors, that is, assess whether factors X1 and X2 together
 #' increase or decrease the explanatory power of the dependent variable Y, or whether the effects of these factors
@@ -116,7 +114,6 @@ interaction_detector = \(y,x1,x2){
 }
 
 #' @title risk detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' Determine whether there is a significant difference between the attribute means of two sub regions.
 #'
@@ -165,7 +162,6 @@ risk_detector = \(y,x,alpha = 0.95){
 }
 
 #' @title ecological detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' Compare the effects of two factors \eqn{X_1} and \eqn{X_2} on the spatial distribution of the attribute \eqn{Y}.
 #'
@@ -201,7 +197,6 @@ ecological_detector = \(y,x1,x2,alpha = 0.95){
 }
 
 #' @title geographical detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @note
 #' Note that only one type of geodetector is supported at a time in `geodetector()`.
 #'
@@ -309,7 +304,6 @@ geodetector = \(formula,data,type = "factor",alpha = 0.95){
 }
 
 #' @title print factor detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for factor detector in `geodetector()`.
 #'
@@ -326,7 +320,6 @@ print.factor_detector = \(x, ...) {
 }
 
 #' @title print interaction detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for interaction detector in `geodetector()`.
 #'
@@ -349,7 +342,6 @@ print.interaction_detector = \(x, ...) {
 }
 
 #' @title print risk detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for risk detector in `geodetector()`.
 #'
@@ -383,7 +375,6 @@ print.risk_detector = \(x, ...) {
 }
 
 #' @title print ecological detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for ecological detector in `geodetector()`.
 #'
@@ -412,7 +403,6 @@ print.ecological_detector = \(x, ...) {
 }
 
 #' @title plot factor detector result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for factor detector in `geodetector()`.
 #'
@@ -468,7 +458,6 @@ plot.factor_detector = \(x, slicenum = 2, alpha = 0.95,
 }
 
 #' @title plot interaction detector result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for interaction detector in `geodetector()`.
 #'
@@ -515,7 +504,6 @@ plot.interaction_detector = \(x,alpha = 1,...){
 }
 
 #' @title plot risk detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for risk detector in `geodetector()`.
 #'
@@ -560,7 +548,6 @@ plot.risk_detector = \(x, ...) {
 }
 
 #' @title plot ecological detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for ecological detector in `geodetector()`.
 #'

R/gozh.R

@@ -1,5 +1,4 @@
 #' @title geographically optimal zones-based heterogeneity(GOZH) model
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @references
 #' Luo, P., Song, Y., Huang, X., Ma, H., Liu, J., Yao, Y., & Meng, L. (2022). Identifying determinants of
 #' spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal
@@ -48,7 +47,6 @@ gozh = \(formula, data, cores = 1,
 }
 
 #' @title print GOZH result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for GOZH model from `gozh()`.
 #'
@@ -70,7 +68,6 @@ print.gozh_result = \(x, ...) {
 }
 
 #' @title plot GOZH result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for GOZH model result in `gozh()`.
 #'
@@ -101,7 +98,6 @@ plot.gozh_result = \(x, ...) {
 
 
 #' @title geographically optimal zones-based heterogeneity detector
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' Function for geographically optimal zones-based heterogeneity detector.
 #' @references

R/idsa.R

@@ -1,5 +1,4 @@
 #' @title interactive detector for spatial associations(IDSA) model
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @references
 #' Yongze Song & Peng Wu (2021) An interactive detector for spatial associations,
 #' International Journal of Geographical Information Science, 35:8, 1676-1701,
@@ -138,7 +137,6 @@ idsa = \(formula,data,wt = NULL,discnum = 3:8,discmethod = "quantile",
 }
 
 #' @title print IDSA result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for IDSA model from `idsa()`.
 #'
@@ -163,7 +161,6 @@ print.idsa_result = \(x, ...) {
 }
 
 #' @title plot IDSA risk result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for IDSA risk result in `idsa()`.
 #'

R/lesh.R

@@ -1,5 +1,4 @@
 #' @title locally explained stratified heterogeneity(LESH) model
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #'
 #' @note
 #' The LESH model requires at least \eqn{2^n-1} calculations when has \eqn{n} explanatory variables.
@@ -50,7 +49,6 @@ lesh = \(formula,data,cores = 1,...){
 }
 
 #' @title print LESH model interaction result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for LESH model interaction result in `lesh()`.
 #'
@@ -72,7 +70,6 @@ print.lesh_result = \(x, ...) {
 }
 
 #' @title plot LESH model result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for LESH model interaction result in `lesh()`.
 #' @note

R/loess_optscale.R

@@ -2,7 +2,6 @@
 #' @description
 #' Function for determining optimal spatial data analysis scale based on locally
 #' estimated scatter plot smoothing (LOESS) model.
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #'
 #' @param qvec A numeric vector of q statistics.
 #' @param spscalevec A numeric vector of spatial scales corresponding to `qvec`.

R/opgd.R

@@ -1,5 +1,4 @@
 #' @title optimal parameters-based geographical detector(OPGD) model
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @references
 #' Song, Y., Wang, J., Ge, Y. & Xu, C. (2020) An optimal parameters-based geographical detector
 #' model enhances geographic characteristics of explanatory variables for spatial heterogeneity
@@ -78,7 +77,6 @@ opgd = \(formula, data, discvar = NULL, discnum = 3:8,
 }
 
 #' @title print OPGD result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to format output for OPGD model from `opgd()`.
 #'
@@ -101,7 +99,6 @@ print.opgd_result = \(x, ...) {
 }
 
 #' @title plot OPGD result
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' S3 method to plot output for OPGD model result in `opgd()`.
 #'

R/pid_idsa.R

@@ -1,5 +1,4 @@
 #' @title optimal spatial data discretization based on SPADE q-statistics
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' Function for determining the optimal spatial data discretization based on SPADE q-statistics.
 #' @references
@@ -134,7 +133,6 @@ cpsd_disc =  \(formula, data, wt, discnum = 3:8, discmethod = "quantile", strate
 }
 
 #' PSD of an interaction of explanatory variables (PSD-IEV)
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @references
 #' Yongze Song & Peng Wu (2021) An interactive detector for spatial associations,
 #' International Journal of Geographical Information Science, 35:8, 1676-1701,

R/psd_pseudop.R

@@ -1,5 +1,4 @@
 #' @title calculate power of spatial determinant(PSD) and the corresponding pseudo-p value
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' Function for calculate power of spatial determinant \eqn{q_s}.
 #' @details
@@ -66,7 +65,6 @@ psd_pseudop = \(y,x,wt,cores = 1,seed = 123456789,permutations = 0){
 }
 
 #' @title power of spatial and multilevel discretization determinant(PSMD) and the corresponding pseudo-p value
-#' @author Wenbo Lv \email{lyu.geosocial@gmail.com}
 #' @description
 #' Function for calculate power of spatial and multilevel discretization determinant and the corresponding pseudo-p value.
 #' @details