Recent Releases of smcfcs
smcfcs - v1.6.0 release
v1.6.0 release, now including parallel functionality in smcfcs.parallel
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Published by jwb133 about 5 years ago
smcfcs - v1.5.0 released
New functionality for discrete time survival analysis with missing covariates added.
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Published by jwb133 about 5 years ago
smcfcs - v1.4.2 released
Version 1.4.2 includes functionality for automatically producing convergence plots using ggplot2.
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Published by jwb133 over 5 years ago
smcfcs - smcfcs version 1.4.0
Adding functionality for covariates measured with classical covariate measurement error, when internal replicate measurements are available. Also adding Weibull substantive model functionality.
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Published by jwb133 over 7 years ago
smcfcs - smcfcs version 1.3.1
Fixing bug in check of whether partially observed variables that need to be imputed have imputation methods specified and that methods are not specified for fully observed variables.
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Published by jwb133 over 7 years ago
smcfcs - smcfcs version 1.3.0
This release adds two new functions, smcfcs.nestedcc and smcfcs.casecohort, which provide functionality for nested case control and case cohort study designs.
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Published by jwb133 about 9 years ago
smcfcs - smcfcs version 1.2.1
This new minor release fixes a bug which was discovered which affected the drawing of posterior parameters values of the substantive model when the latter is linear regression.
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Published by jwb133 over 10 years ago
smcfcs - smcfcs version 1.2.0
This new release adds functionality to accommodating Poisson substantive models for count outcomes.
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Published by jwb133 over 10 years ago
smcfcs - smcfcs version 1.1.1
Version 1.1.1 - a number of small changes, plus critical bug fix for linear substantive models with categorical missing covariates. The bug which has been fixed meant that if the substantive model was linear regression, imputation of categorical covariates was done incorrectly.
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Published by jwb133 over 10 years ago
smcfcs - smcfcs version 1.1.0
The main addition in version 1.1.0 of smcfcs is the ability to impute covariates with competing risks data. smcfcs assumes a Cox proportional hazards model for each competing cause of failure, and imputes covariates compatibly with these models.
- R
Published by jwb133 almost 11 years ago
smcfcs - First release on CRAN.
Version 1.0.0 - first release on CRAN.
- R
Published by jwb133 about 11 years ago