Changes in version 3.4.2.9000                      

                         Changes in version 3.4                         

Surrogate 3.4.2

  - Added functions for evaluating surrogacy in the
    information-theoretic causal-inference framework for a continuous
    surrogate and true endpoint measured repeatedly over time:
    ICA_contcont_long_cre(), ICA_contcont_long_ri(), and
    ICA_contcont_long_galecki().
  - Updates and fixed to functions for evaluating surrogacy in the
    information-theoretic causal-inference framework.
  - Updates to functions for evaluating surrogacy in the meta-analytic
    framework.

Surrogate 3.4.1

  - Add the ICA.Sample.ControlTreat() function to quantify surrogacy in
    the single-trial causal-inference framework when data is only
    available for the control treatment.

Surrogate 3.4.0

  - Added ICA_alpha_ContCont() to assess surrogacy using a Rényi
    divergence based family of metrics in the information-theoretic
    causal-inference framework.
  - Added ICA_t() to assess surrogacy in the information-theoretic
    causal-inference framework assuming a multivariate t-distribution
    for the vector of potential outcomes.

                         Changes in version 3.3                         

Surrogate 3.3.0

  - Added and updated functions for the survival-categorical,
    survival-binary, and survival-continuous settings in the
    meta-analytic framework.
  - Added functions to perform the two-stage federated surrogacy
    evaluation.

Surrogate 3.3.1

  - General implementation of the information-theoretic causal inference
    framework based on D-vine copula models for the ordinal-ordinal,
    ordinal-continuous, and continuous-continuous settings.

Surrogate 3.3.3

  - Fix tests that fail on CRAN.

                         Changes in version 3.2                         

Surrogate 3.2.6

  - Updated functions for the surrogate predictive function in the
    binary-continuous setting (information-theoretic causal inference
    framework).

Surrogate 3.2.5

  - Added functions survbin() and survcat() to evaluate categorical
    surrogates for time-to-event true endpoints in the meta-analytic
    framework.

Surrogate 3.2.4

  - In the sensitivity analyses, we now have to option to set
    conditional association parameters equal to each other through
    eq_cond_association
  - Bug fixed in sensitivity_analysis_SurvSurv(). When the
    unidentifiable copula family was "clayton", then, if the copula
    parameter on Spearman's rho scale was very close to zero, the
    conversion to the original copula parameter scale was wrong.

Surrogate 3.2.2

  - Added uncertainty intervals to summarize sensitivity analyses
  - Extended flexibility for survival-survival vine copula models and
    associated sensitivity analysis
  - Add functions to evaluate multivariate surrogates in the
    meta-analytic framework

Surrogate 3.2.1

  - Added ICA.BinCont.BS() function. This function allows for evaluating
    a continuous for a binary true endpoint in the information-theoretic
    causal inference framework. This function serves the same purpose as
    ICA.BinCont(), but additionally allows for taking sampling
    variability into account.

Surrogate 3.2.0

  - Added a NEWS.md file to track changes to the package.