v1.2.1

JWAS v1.2.1

Diff since v1.2.0

Merged pull requests:

• update mkmat_incidence_factor (#140) (@zhaotianjing)
• GWAS remove rounding (#143) (@zhaotianjing)

v1.2.0

JWAS v1.2.0

Diff since v1.1.3

Closed issues:

• mkmat_incidence_factor (#138)
• mkmat_incidence_factor (#139)

Merged pull requests:

• update some functions (#136) (@zhaotianjing)
• Merge RRM_new to master (#137) (@Jiayi-Qu)

v1.1.3

JWAS v1.1.3

Diff since v1.1.2

Closed issues:

• add native functions to make relationship matrices/kernels (#85)
• Error running JWAS.jl on workflow example data in Julia 1.4.1 (#129)

Merged pull requests:

• censored and categorical traits: print trait type info (#118) (@zhaotianjing)
• Modified RRM_new branch based on current master & correct RRM branch. (#120) (@Jiayi-Qu)
• Updated RRM_new (#121) (@Jiayi-Qu)
• add function to output all samples (#122) (@Jiayi-Qu)
• Bayesian block (#126) (@Jiayi-Qu)
• fix update prior function (#127) (@zhaotianjing)
• fix user-defined activation function (#128) (@zhaotianjing)
• update joint trait analysis (#130) (@zhaotianjing)
• update dep version (#135) (@zhaotianjing)

v1.1.2

JWAS v1.1.2

Diff since v1.1.1

minor improvement: force marker IDs to be strings

Merged pull requests:

• add error message for categorial trait (#117) (@zhaotianjing)

v1.1.1

JWAS v1.1.1

Diff since v1.1.0

minor improvement: check map files in GWAS because some markers might be removed in QC

Merged pull requests:

• update GWAS() to remove extra snps in user's mapfile (#116) (@zhaotianjing)

v1.1.0

JWAS v1.1.0

Diff since v1.0.0

Add new feature including 1)joint analysis of continuous, categorical, and censored traits 2)all-in all-out model in the multi-trait analysis
Bug fixes in NN-MM

Merged pull requests:

• Updated RRM_new branch merged with up-to-date RRM master branch (#100) (@Jiayi-Qu)
• Add MegaBayesC functions to JWAS Mega branch (#105) (@Jiayi-Qu)
• multiple censored trait (#107) (@zhaotianjing)
• update multiple censored traits (#108) (@zhaotianjing)
• JWAS update (#112) (@zhaotianjing)
• allow multi-trait Gibbs sampler II (#113) (@zhaotianjing)
• update nnlmm omics (#114) (@zhaotianjing)
• fix a bug in nn-mm with no omics data (#115) (@zhaotianjing)

v1.0.0

JWAS v1.0.0

Diff since v0.15.0

JWAS Version 1.0

v0.15.0

JWAS v0.15.0

Diff since v0.14.4

neural networks including intermediate omics data

Merged pull requests:

• allow intermediate omics features (#99) (@zhaotianjing)
• update (#102) (@reworkhow)
• genomic prediction including intermediate omics data (#104) (@reworkhow)

v0.14.4

JWAS v0.14.4

Diff since v0.14.3

minor improvement (structure equation model)

Merged pull requests:

• update SEM (#96) (@justinwang97)

v0.14.3

JWAS v0.14.3

Diff since v0.14.2

minor improvement (user-defined prediction equation)