This function constructs and fits an OpenMx model for a pedigree using specified variance components and family group models.
Usage
fitPedigreeModel(
model_name = "PedigreeModel",
vars = list(ad2 = 0.5, dd2 = 0.3, cn2 = 0.2, ce2 = 0.4, mt2 = 0.1, am2 = 0.25, ee2 =
0.6),
data = NULL,
group_models = NULL,
Addmat = NULL,
Nucmat = NULL,
Extmat = NULL,
Mtdmat = NULL,
Amimat = NULL,
Dmgmat = NULL,
tryhard = TRUE,
intervals = TRUE,
extraTries = 10,
condenseMatrixSlots = TRUE,
runmodel = TRUE,
temporal = FALSE,
dat_list = NULL,
obs_ids_list = NULL,
param_year_list = NULL,
H_list = NULL,
Addmat_list = NULL,
Nucmat_list = NULL,
Extmat_list = NULL,
Mtdmat_list = NULL,
Amimat_list = NULL,
Dmgmat_list = NULL,
p_hist = NULL,
components = c("a", "d", "cn", "ce", "mt", "am", "e"),
use_exp_loadings = FALSE,
time_point_max = NULL,
start_beta0 = 0.5,
start_beta_time = 0,
start_gamma = 0,
mean_degree = 0,
start_mean = 0,
mean_hist_free = FALSE,
start_mean_hist = 0,
retain_eta = TRUE,
retain_loadings = TRUE,
retain_loading_covariances = TRUE,
retain_component_covariances = TRUE,
residual_covariance_form = c("outer_product", "diagonal"),
clean_ids = TRUE,
group_static_families = FALSE
)Arguments
- model_name
Character. Name for the overall OpenMx model. Default is "PedigreeModel".
- vars
A named list or vector of initial variance component values. Only used when
temporal = FALSE.- data
A matrix or data frame of observed data, where each row is a family and columns correspond to individuals. Only used when
group_modelsis NULL andtemporal = FALSE.- group_models
Optional list of pre-built OpenMx family group models (from
buildOneFamilyGroup). If NULL, they are generated fromdata(or, whentemporal = TRUE, fromdat_listand friends) using the provided relatedness matrices.- Addmat
Additive genetic relatedness matrix (from
ped2add).- Nucmat
Nuclear family shared environment relatedness matrix (from
ped2cn).- Extmat
Common extended family environment relatedness matrix. When non-NULL, a Vce term scaled by this matrix is added to the covariance. If a non-matrix value (e.g.
TRUE) is supplied, a unit matrix (all members share equally) is created automatically.- Mtdmat
Mitochondrial genetic relatedness matrix (from
ped2mit).- Amimat
Additive by mitochondrial interaction relatedness matrix.
- Dmgmat
Dominance genetic relatedness matrix.
- tryhard
Logical. If TRUE (default), use
mxTryHardfor robust optimization; if FALSE, usemxRun.- intervals
Logical. If TRUE (default), compute confidence intervals for the parameters using
mxSEandmxCI.- extraTries
Numeric. The number of extra optimization attempts to make when
tryhardis TRUE. Default is 10.- condenseMatrixSlots
Logical. If TRUE, use the mxCondenseMatrixSlots wrapper to optimize memory usage for large matrices. Default is TRUE.
- runmodel
Logical. If TRUE (default), the model is fitted; if FALSE, the model is returned without fitting.
- temporal
Logical. If TRUE, build a time-varying family-group model where each component's weight is a function of
param_year(and, optionally,H) instead of a fixed scalar. Default is FALSE.- dat_list
A list of numeric vectors of observed data, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- obs_ids_list
A list of character vectors of individual IDs, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- param_year_list
A list of numeric birth-year vectors, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- H_list
A list of historical-moderator matrices, one per family. Only used when
temporal = TRUE.- Addmat_list
A list of additive genetic relatedness matrices, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- Nucmat_list
A list of nuclear family shared environment relatedness matrices, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- Extmat_list
A list of common extended family environment relatedness matrices, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- Mtdmat_list
A list of mitochondrial genetic relatedness matrices, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- Amimat_list
A list of additive by mitochondrial interaction relatedness matrices, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- Dmgmat_list
A list of dominance genetic relatedness matrices, one per family. Only used when
temporal = TRUEandgroup_modelsis NULL.- p_hist
Integer. Number of historical moderator columns. Only used when
temporal = TRUE. If NULL, inferred fromH_list.- components
Character vector of component keys to include (any of "a", "d", "cn", "ce", "mt", "am", "e"). Only used when
temporal = TRUE. Default isc("a", "e").- use_exp_loadings
Logical. If TRUE (default), each component's loading is exponentiated so its implied variance stays positive. Only used when
temporal = TRUE.- time_point_max
Integer degree of the polynomial birth-year basis. Only used when
temporal = TRUE. Default is 3.- start_beta0
Numeric. Starting value for each component's intercept loading. Only used when
temporal = TRUE. Default is 0.5.- start_beta_time
Numeric. Starting value for each component's time-slope loadings. Only used when
temporal = TRUE. Default is 0.- start_gamma
Numeric. Starting value for historical-moderator loadings. Only used when
temporal = TRUE. Default is 0.- mean_degree
Integer. Degree of the polynomial temporal mean. The default, 0, estimates a constant mean. Must not exceed
time_point_max.- start_mean
Numeric. Starting value for the mean's intercept. Set this near the observed phenotype mean.
- mean_hist_free
Logical, length 1 or
p_hist. Whether historical moderators can shift the phenotypic mean. Defaults to FALSE, fixing those shifts at zero.- start_mean_hist
Numeric. Starting value for the free elements of
G_mean.- retain_eta
Logical. Retain named temporal linear predictors
Eta_*.- retain_loadings
Logical. Retain named loading vectors
L_*.- retain_loading_covariances
Logical. Retain named loading outer products
K*.- retain_component_covariances
Logical. Retain named relatedness-weighted component covariance algebras
Cov_*. Any unretained layer is inlined, leavingVand the likelihood unchanged.- residual_covariance_form
Character. Use
"outer_product"to preserve the originalI * K_erepresentation or"diagonal"for the exactly equivalentvec2diag(L_e * L_e)representation.- clean_ids
Logical. If TRUE, clean the
obs_idsto be syntactically valid R names usingmake.names. Default is FALSE.- group_static_families
Logical. If TRUE for a static model built from
data, build one raw-data submodel containing all family rows. If FALSE, preserve the original one-submodel-per-family implementation.