Add trimming functionality and update related documentation

.gitignore

@@ -52,5 +52,7 @@ tests/testthat/Rplots.pdf
 vignettes/articles/paper.html
 vignettes/rewritten_relatedness_vignette.Rmd
 vignettes/rewritten_relatedness_vignette.Xmd
+revdep/
+/.claude
 vignettes/understanding_relatedness.Rmd
 vignettes/understanding_relatedness.Xmd

NAMESPACE

@@ -21,6 +21,7 @@ export(computeParentAdjacency)
 export(createGenDataFrame)
 export(determineSex)
 export(dropLink)
+export(findLeaves)
 export(fitComponentModel)
 export(fitPedigreeModel)
 export(getWikiTreeSummary)
@@ -57,6 +58,7 @@ export(summarizeMatrilines)
 export(summarizePatrilines)
 export(summarizePedigrees)
 export(traceTreePaths)
+export(trimPedigree)
 export(vech)
 importFrom(Matrix,Diagonal)
 importFrom(Matrix,sparseMatrix)

NEWS.md

@@ -6,6 +6,8 @@
 * Fixed missing checkpoint for ram_checkpoint
 * Try a chunk_size argument for ped2com to reduce memory usage during transpose
 * Try filter method for whose relatedness to return by individual ID
+* Renamed `ytemp` parameter to `obs_ids` in `buildOneFamilyGroup()` and `buildFamilyGroups()` for clarity
+* Expanded v6 vignette with data requirements reference and real-data workflow using the `hazard` dataset
 
 # BGmisc 1.6.0.1
 ## CRAN submission

R/buildComponent.R

@@ -222,9 +222,26 @@ ped2com <- function(ped, component,
   }
 
   # isPar is the adjacency matrix.  'A' matrix from RAM
-
   if (config$component %in% c("common nuclear")) {
     Matrix::diag(isPar) <- 1
+
+    if (!is.null(config$keep_ids)) {
+      isPar <- .subsetKeepIds(
+        component = isPar,
+        keep_ids = keep_ids,
+        available_ids = rownames(isPar),
+        config = config,
+        drop = FALSE,
+        verbose_message = "Subsetting adjacency matrix to %d target individuals\n"
+      ) # also need to drop columns here because the adjacency matrix is used in the path tracing and we want to make sure the paths are correct for the target individuals.  We will keep all columns for the path tracing but subset to the target rows so that the relatedness values are correct for the target individuals.
+
+      if (length(rownames(isPar) > 1)) {
+        isPar <- isPar[, rownames(isPar), drop = FALSE]
+      } # else {
+      #      isPar <- isPar[rownames(isPar)]
+      #    }
+      #  isPar <- isPar[, rownames(isPar)] #
+    }
     if (config$sparse == FALSE) {
       isPar <- as.matrix(isPar)
     }

R/buildmxPedigrees.R

@@ -20,7 +20,8 @@ buildPedigreeModelCovariance <- function(
   vars = list(
     ad2 = 0.5,
     dd2 = 0.3,
-    cn2 = 0.2, ce2 = 0.4,
+    cn2 = 0.2,
+    ce2 = 0.4,
     mt2 = 0.1,
     am2 = 0.25,
     ee2 = 0.6
@@ -104,8 +105,10 @@ buildPedigreeModelCovariance <- function(
 #' @param Mtdmat Mitochondrial genetic relatedness matrix (from \code{\link{ped2mit}}).
 #' @param Amimat Additive by mitochondrial interaction relatedness matrix.
 #' @param Dmgmat Dominance genetic relatedness matrix.
-#' @param full_df_row A 1-row matrix of observed data with column names matching \code{ytemp}.
-#' @param ytemp A character vector of variable names corresponding to the observed data columns.
+#' @param full_df_row A 1-row matrix of observed data with column names matching \code{obs_ids}.
+#' @param obs_ids A character vector of individual IDs corresponding to the columns of
+#'   \code{full_df_row} and the rows/columns of the relatedness matrices. Must be in the
+#'   same order as the relatedness matrix rows.
 #' @return An OpenMx model for the specified family group.
 #' @export
 
@@ -118,7 +121,7 @@ buildOneFamilyGroup <- function(
   Amimat = NULL,
   Dmgmat = NULL,
   full_df_row,
-  ytemp
+  obs_ids
 ) {
   if (!requireNamespace("OpenMx", quietly = TRUE)) {
     stop("OpenMx package is required for buildOneFamilyGroup function. Please install it.")
@@ -208,10 +211,10 @@ buildOneFamilyGroup <- function(
       OpenMx::mxData(observed = full_df_row, type = "raw", sort = FALSE),
       OpenMx::mxMatrix("Full",
         nrow = 1, ncol = fsize, name = "M", free = TRUE,
-        labels = "meanLI", dimnames = list(NULL, ytemp)
+        labels = "meanLI", dimnames = list(NULL, obs_ids)
       ),
       OpenMx::mxAlgebraFromString(algebra_str,
-        name = "V", dimnames = list(ytemp, ytemp)
+        name = "V", dimnames = list(obs_ids, obs_ids)
       ),
       OpenMx::mxExpectationNormal(covariance = "V", means = "M"),
       OpenMx::mxFitFunctionML()
@@ -227,7 +230,8 @@ buildOneFamilyGroup <- function(
 #' provided relatedness matrices and observed data.
 #'
 #' @param dat A data frame where each row represents a family group and columns correspond to observed variables.
-#' @param ytemp A vector of variable names corresponding to the observed data.
+#' @param obs_ids A character vector of individual IDs corresponding to the columns of \code{dat}
+#'   and the rows/columns of the relatedness matrices.
 #' @param Addmat Additive genetic relatedness matrix.
 #' @param Nucmat Nuclear family shared environment relatedness matrix.
 #' @param Extmat Extended family shared environment relatedness matrix.
@@ -239,7 +243,7 @@ buildOneFamilyGroup <- function(
 #' @export
 
 buildFamilyGroups <- function(
-  dat, ytemp,
+  dat, obs_ids,
   Addmat = NULL,
   Nucmat = NULL,
   Extmat = NULL,
@@ -256,17 +260,17 @@ buildFamilyGroups <- function(
   groups <- vector("list", numfam)
 
   for (afam in seq_len(numfam)) {
-    full_df_row <- matrix(dat[afam, ], nrow = 1, dimnames = list(NULL, ytemp))
+    full_df_row <- matrix(dat[afam, ], nrow = 1, dimnames = list(NULL, obs_ids))
     groups[[afam]] <- buildOneFamilyGroup(
-      group_name  = paste0(prefix, afam),
-      Addmat      = Addmat,
-      Nucmat      = Nucmat,
-      Extmat      = Extmat,
-      Mtdmat      = Mtdmat,
-      Amimat      = Amimat,
-      Dmgmat      = Dmgmat,
+      group_name = paste0(prefix, afam),
+      Addmat = Addmat,
+      Nucmat = Nucmat,
+      Extmat = Extmat,
+      Mtdmat = Mtdmat,
+      Amimat = Amimat,
+      Dmgmat = Dmgmat,
       full_df_row = full_df_row,
-      ytemp       = ytemp
+      obs_ids = obs_ids
     )
   }
 
@@ -347,6 +351,7 @@ buildPedigreeMx <- function(model_name, vars, group_models) {
 #' @param group_models Optional list of pre-built OpenMx family group models
 #'   (from \code{\link{buildOneFamilyGroup}}). If NULL, they are generated from \code{data}
 #'   using the provided relatedness matrices.
+#' @param intervals Logical. If TRUE (default), compute confidence intervals for the parameters using \code{mxSE} and \code{mxCI}.
 #' @param Addmat Additive genetic relatedness matrix. Required when \code{group_models} is NULL.
 #' @param Nucmat Common nuclear environment relatedness matrix. Optional.
 #' @param Extmat Common extended environment relatedness matrix. Optional.
@@ -363,14 +368,16 @@ fitPedigreeModel <- function(
   vars = list(
     ad2 = 0.5,
     dd2 = 0.3,
-    cn2 = 0.2, ce2 = 0.4,
+    cn2 = 0.2,
+    ce2 = 0.4,
     mt2 = 0.1,
     am2 = 0.25,
     ee2 = 0.6
   ),
   data = NULL,
   group_models = NULL,
   tryhard = TRUE,
+  intervals = TRUE,
   Addmat = NULL,
   Nucmat = NULL,
   Extmat = NULL,
@@ -387,10 +394,10 @@ fitPedigreeModel <- function(
     if (is.null(data)) {
       stop("Either 'group_models' or 'data' must be provided.")
     }
-    ytemp <- colnames(data)
+    obs_ids <- colnames(data)
     group_models <- buildFamilyGroups(
       dat = data,
-      ytemp = ytemp,
+      obs_ids = obs_ids,
       Addmat = Addmat,
       Nucmat = Nucmat,
       Extmat = Extmat,
@@ -405,8 +412,8 @@ fitPedigreeModel <- function(
     vars = vars,
     group_models = group_models
   )
-  if (tryhard) {
-    fitted_model <- OpenMx::mxTryHard(pedigree_model, silent = TRUE, extraTries = 10, intervals = TRUE)
+  if (tryhard == TRUE) {
+    fitted_model <- OpenMx::mxTryHard(pedigree_model, silent = TRUE, extraTries = 10, intervals = intervals)
   } else {
     fitted_model <- OpenMx::mxRun(pedigree_model)
   }