NEWS
Surrogate 3.4.2.9000
Surrogate 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.
Surrogate 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.
Surrogate 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.