A | Subsetting/Indexing Actions Defined for 'DAG' Object |
add.action | Define and Add Actions (Interventions) |
add.nodes | Adding Node(s) to DAG |
DAG.empty | Initialize an empty DAG object |
Define_sVar | Class for defining and evaluating user-specified summary... |
DF.to.long | Convert Data from Wide to Long Format Using 'reshape' |
DF.to.longDT | Faster Conversion of Data from Wide to Long Format Using... |
distr.list | List All Custom Distribution Functions in 'simcausal'. |
doLTCF | Missing Variable Imputation with Last Time Point Value... |
eval.target | Evaluate the True Value of the Causal Target Parameter |
igraph.to.sparseAdjMat | Convert igraph Network Object into Sparse Adjacency Matrix |
N | Subsetting/Indexing 'DAG' Nodes |
NetIndClass | R6 class for creating and storing a friend matrix (network... |
NetInd.to.sparseAdjMat | Convert Network IDs Matrix into Sparse Adjacency Matrix |
net.list | List All Custom Network Generator Functions in 'simcausal'. |
network | Define a Network Generator |
node | Create Node Object(s) |
parents | Show Node Parents Given DAG Object |
plotDAG | Plot DAG |
plotSurvEst | (EXPERIMENTAL) Plot Discrete Survival Function(s) |
print.DAG | Print DAG Object |
print.DAG.action | Print Action Object |
print.DAG.node | Print DAG.node Object |
rbern | Random Sample from Bernoulli Distribution |
rcat.b1 | Random Sample from Base 1 (rcat.b1) or Base 0 (rcat.b0)... |
rcat.factor | Random Sample for a Categorical Factor |
rconst | Constant (Degenerate) Distribution (Returns its Own Argument... |
rdistr.template | Template for Writing Custom Distribution Functions |
rnet.gnm | Call 'igraph::sample_gnm' to Generate Random Graph Object... |
rnet.gnp | Call 'igraph::sample_gnp' to Generate Random Graph Object... |
rnet.SmWorld | Call 'igraph::sample_smallworld' to Generate Random Graph... |
set.DAG | Create and Lock DAG Object |
set.targetE | Define Non-Parametric Causal Parameters |
set.targetMSM | Define Causal Parameters with a Working Marginal Structural... |
sim | Simulate Observed or Full Data from 'DAG' Object |
simcausal | Simulating Longitudinal Data with Causal Inference... |
simfull | Simulate Full Data (From Action DAG(s)) |
simobs | Simulate Observed Data |
sparseAdjMat.to.igraph | Convert Network from Sparse Adjacency Matrix into igraph... |
sparseAdjMat.to.NetInd | Convert Network from Sparse Adjacency Matrix into Network IDs... |
vecfun.add | Add Custom Vectorized Functions |
vecfun.all.print | Print Names of All Vectorized Functions |
vecfun.print | Print Names of Custom Vectorized Functions |
vecfun.remove | Remove Custom Vectorized Functions |
vecfun.reset | Reset Custom Vectorized Function List |
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