Automated build.

.setup/latex/pdf/.gitignore

@@ -0,0 +1,5 @@
+*
+*/
+!*.pdf
+!.gitignore
+!bib.bib

CITATION.cff

@@ -0,0 +1,48 @@
+# --------------------------------------------
+# CITATION file created with {cffr} R package
+# See also: https://docs.ropensci.org/cffr/
+# --------------------------------------------
+
+cff-version: 1.2.0
+message: 'To cite package "cTMed" in publications use:'
+type: software
+license: GPL-3.0-or-later
+title: 'cTMed: Continuous Time Mediation'
+version: 1.0.1
+abstract: Calculates standard errors and confidence intervals for effects in continuous-time
+  mediation models. It extends the work of Deboeck and Preacher (2015) <https://doi.org/10.1080/10705511.2014.973960>
+  and Ryan and Hamaker (2021) <https://doi.org/10.1007/s11336-021-09767-0> by providing
+  methods to generate standard errors and confidence intervals for the total, direct,
+  and indirect effects in these models.
+authors:
+- family-names: Pesigan
+  given-names: Ivan Jacob Agaloos
+  email: r.jeksterslab@gmail.com
+  orcid: https://orcid.org/0000-0003-4818-8420
+preferred-citation:
+  type: manual
+  title: 'cTMed: Continuous Time Mediation'
+  authors:
+  - family-names: Pesigan
+    given-names: Ivan Jacob Agaloos
+    email: r.jeksterslab@gmail.com
+    orcid: https://orcid.org/0000-0003-4818-8420
+  year: '2024'
+  notes: R package version 1.0.1
+repository-code: https://github.com/jeksterslab/cTMed
+url: https://jeksterslab.github.io/cTMed/
+contact:
+- family-names: Pesigan
+  given-names: Ivan Jacob Agaloos
+  email: r.jeksterslab@gmail.com
+  orcid: https://orcid.org/0000-0003-4818-8420
+keywords:
+- centrality
+- continuous-time
+- delta-method
+- mediation
+- monte-carlo-method
+- network
+- r
+- r-package
+

NAMESPACE

@@ -22,7 +22,6 @@ export(DeltaIndirectCentral)
 export(DeltaMed)
 export(DeltaTotalCentral)
 export(Direct)
-export(EffectSizeMed)
 export(Indirect)
 export(IndirectCentral)
 export(MCBeta)

R/RcppExports.R

@@ -2,78 +2,78 @@
 # Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
 
 .DirectVec <- function(phi_vec, delta_t, from, to, med) {
-    .Call('_cTMed_DirectVec', PACKAGE = 'cTMed', phi_vec, delta_t, from, to, med)
+    .Call(`_cTMed_DirectVec`, phi_vec, delta_t, from, to, med)
 }
 
 .Direct <- function(phi, delta_t, from, to, med) {
-    .Call('_cTMed_Direct', PACKAGE = 'cTMed', phi, delta_t, from, to, med)
+    .Call(`_cTMed_Direct`, phi, delta_t, from, to, med)
 }
 
 .IndirectCentrals <- function(phi, delta_t) {
-    .Call('_cTMed_IndirectCentrals', PACKAGE = 'cTMed', phi, delta_t)
+    .Call(`_cTMed_IndirectCentrals`, phi, delta_t)
 }
 
 .IndirectCentralVec <- function(phi_vec, delta_t) {
-    .Call('_cTMed_IndirectCentralVec', PACKAGE = 'cTMed', phi_vec, delta_t)
+    .Call(`_cTMed_IndirectCentralVec`, phi_vec, delta_t)
 }
 
 .IndirectCentral <- function(phi, delta_t) {
-    .Call('_cTMed_IndirectCentral', PACKAGE = 'cTMed', phi, delta_t)
+    .Call(`_cTMed_IndirectCentral`, phi, delta_t)
 }
 
 .Indirect <- function(phi, delta_t, from, to, med) {
-    .Call('_cTMed_Indirect', PACKAGE = 'cTMed', phi, delta_t, from, to, med)
+    .Call(`_cTMed_Indirect`, phi, delta_t, from, to, med)
 }
 
 .MCPhiI <- function(phi, vcov_phi_vec_l, test_phi = TRUE) {
-    .Call('_cTMed_MCPhiI', PACKAGE = 'cTMed', phi, vcov_phi_vec_l, test_phi)
+    .Call(`_cTMed_MCPhiI`, phi, vcov_phi_vec_l, test_phi)
 }
 
 .MCPhi <- function(phi, vcov_phi_vec_l, R, test_phi = TRUE) {
-    .Call('_cTMed_MCPhi', PACKAGE = 'cTMed', phi, vcov_phi_vec_l, R, test_phi)
+    .Call(`_cTMed_MCPhi`, phi, vcov_phi_vec_l, R, test_phi)
 }
 
 .Meds <- function(phi, delta_t, from, to, med) {
-    .Call('_cTMed_Meds', PACKAGE = 'cTMed', phi, delta_t, from, to, med)
+    .Call(`_cTMed_Meds`, phi, delta_t, from, to, med)
 }
 
 .MedVec <- function(phi_vec, delta_t, from, to, med) {
-    .Call('_cTMed_MedVec', PACKAGE = 'cTMed', phi_vec, delta_t, from, to, med)
+    .Call(`_cTMed_MedVec`, phi_vec, delta_t, from, to, med)
 }
 
 .Med <- function(phi, delta_t, from, to, med) {
-    .Call('_cTMed_Med', PACKAGE = 'cTMed', phi, delta_t, from, to, med)
+    .Call(`_cTMed_Med`, phi, delta_t, from, to, med)
 }
 
 .TestPhi <- function(phi) {
-    .Call('_cTMed_TestPhi', PACKAGE = 'cTMed', phi)
+    .Call(`_cTMed_TestPhi`, phi)
 }
 
 .TestStable <- function(x) {
-    .Call('_cTMed_TestStable', PACKAGE = 'cTMed', x)
+    .Call(`_cTMed_TestStable`, x)
 }
 
 .TotalCentrals <- function(phi, delta_t) {
-    .Call('_cTMed_TotalCentrals', PACKAGE = 'cTMed', phi, delta_t)
+    .Call(`_cTMed_TotalCentrals`, phi, delta_t)
 }
 
 .TotalCentralVec <- function(phi_vec, delta_t) {
-    .Call('_cTMed_TotalCentralVec', PACKAGE = 'cTMed', phi_vec, delta_t)
+    .Call(`_cTMed_TotalCentralVec`, phi_vec, delta_t)
 }
 
 .TotalCentral <- function(phi, delta_t) {
-    .Call('_cTMed_TotalCentral', PACKAGE = 'cTMed', phi, delta_t)
+    .Call(`_cTMed_TotalCentral`, phi, delta_t)
 }
 
 .TotalDeltaT <- function(phi, delta_t) {
-    .Call('_cTMed_TotalDeltaT', PACKAGE = 'cTMed', phi, delta_t)
+    .Call(`_cTMed_TotalDeltaT`, phi, delta_t)
 }
 
 .TotalVec <- function(phi_vec, delta_t) {
-    .Call('_cTMed_TotalVec', PACKAGE = 'cTMed', phi_vec, delta_t)
+    .Call(`_cTMed_TotalVec`, phi_vec, delta_t)
 }
 
 .Total <- function(phi, delta_t) {
-    .Call('_cTMed_Total', PACKAGE = 'cTMed', phi, delta_t)
+    .Call(`_cTMed_Total`, phi, delta_t)
 }