The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

bmlm 1.3.15

Minor update: Use new Stan array syntax thanks to Andrew Johnson.

bmlm 1.3.14

Minor fix: Let rstantools generate Makevars

bmlm 1.3.13

Minor housekeeping:

• Updated compiler flags thanks to @jgabry
• Updated contact info

bmlm 1.3.12

Updated compiler flags for new version of RStan thanks to Andrew Johnson.

bmlm 1.3.11

Fix package for staged installation

bmlm 1.3.9

• Fix NOTE about methods package

bmlm 1.3.8

• Update to C++14, thanks to Ben Goodrich.

bmlm 1.3.7

• Removed tab2doc(), package no longer needs archived ReporteRs package.

bmlm 1.3.6

• Deprecate tab2doc() because required package ReporteRs is archived.

bmlm 1.3.5

• Fix (harmless) constructor error message

bmlm 1.3.4

• Minor cleaning of Stan code
• Fix typos in documentation

bmlm 1.3.3

• Change the label ‘%me’ to ‘pme’ (for proportion mediated effect) in output of mlm_path_plot(…, text = TRUE).

bmlm 1.3.2

• Add options to mlm_spaghetti_plot() to allow jittering and adjusting size of the error bars.

bmlm 1.3.1

• mlm_spaghetti_plot() now has argument mx which can be set to mx = "data" to plot the spaghetti plot of the M - Y relationship (b path) such that the X values are from data, and not fitted values from the X - M model (a path). The argument defaults to mx = "fitted", such that the X axis values of the M - Y spaghetti plot are fitted values.

bmlm 1.3.0

• New function mlm_spaghetti_plot() for visualizing model-fitted values for paths a (X->M regression) and b (M->Y regression)

bmlm 1.2.10

• Default priors are now \(Normal(0, 1000)\) for regression coefficients, and \(Cauchy(0, 50)\) for group-level SDs
• mlm_summary() now gives only population level parameters by default, and group-level parameters when pars = "random"
• Renamed the mediated effect parameter to me to distinguish it from the product of a and b (similarly for group-level u_me)
• mlm_path_plot() now draws a template if no model is entered (i.e. template argument is deprecated)
• mlm_path_plot() now by default also shows SDs of group-level effects. This behavior can be turned off by specifying random = FALSE
• The fitted model object doesn’t contain the whole covariance matrix anymore, but now contains the group-level intercepts
• New example data set included in package: MEC2010
• Posterior standard deviation is now referred to as SE in mlm_summary()

bmlm 1.2.9

Removed sigma_y from being modeled when binary_y = TRUE.

bmlm 1.2.1

Removed posterior probabilities from default outputs.

Added type = “violin” as option for plotting coefficients with mlm_pars_plot().

bmlm 1.2.0

Users may now change each individual regression parameter’s prior, instead of classes of priors.

Users may now change the shape parameter of the LKJ prior.

bmlm 1.1.1

Coefficient plots now reorder parameter estimates, if user has requested varying effects.

Path plot now by default does not scale the edges.

bmlm 1.1.0

Major update

bmlm now uses pre-compiled C++ code for the Stan models, which eliminates the need to compile a model each time mlm() is run. This significantly speeds up model estimation.

Minor update

The Stan code used by mlm() is now built from separate chunks, allowing more flexible and robust model development.

bmlm 1.0.0

Initial release to CRAN.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.