/// <summary>
/// Creates a list of Betas of the specified size, each set to have the specified true and false counts.
/// </summary>
/// <param name="size">The size of the list</param>
/// <param name="trueCount">The true count for each Beta distribution</param>
/// <param name="falseCount">The false count for each Beta distribution</param>
public SparseBetaList(int size, double trueCount, double falseCount)
{
TrueCounts = ApproximateSparseVector.Constant(size, trueCount, DefaultSparsity);
FalseCounts = ApproximateSparseVector.Constant(size, falseCount, DefaultSparsity);
}
/// <summary>
/// Creates a list of Bernoullis of the specified size, each set to have the specified probability of being true.
/// </summary>
/// <param name="size">The size of the list</param>
/// <param name="probTrue">The probability of each Bernoulli being true</param>
public SparseBernoulliList(int size, double probTrue)
{
LogOddsVector = ApproximateSparseVector.Constant(size, MMath.Logit(probTrue), DefaultSparsity);
}
