more spell check

DESCRIPTION

@@ -30,9 +30,8 @@ Suggests:
     pkgdown,
     testthat,
     covr
-Description: Package for Bayesian Variable Selection and  Model Averaging in linear
-    models and
-    generalized linear models using stochastic or
+Description: Package for Bayesian Variable Selection and  Model Averaging 
+    in linear models and generalized linear models using stochastic or
     deterministic sampling without replacement from posterior
     distributions.  Prior distributions on coefficients are
     from Zellner's g-prior or mixtures of g-priors
@@ -41,20 +40,21 @@ Description: Package for Bayesian Variable Selection and  Model Averaging in lin
     <DOI:10.1198/016214507000001337>
     for linear models or mixtures of g-priors from  Li and Clyde
     (2019) <DOI:10.1080/01621459.2018.1469992> in generalized linear models.
-    Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g.
-    Sampling probabilities may be updated based on the sampled models
-    using Sampling w/out Replacement or an efficient MCMC algorithm which
-    samples models using the `BAS` tree structure as an efficient hash table.
+    Other model selection criteria include AIC, BIC and Empirical Bayes 
+    estimates of g. Sampling probabilities may be updated based on the sampled
+    models using sampling w/out replacement or an efficient MCMC algorithm which
+    samples models using a tree structure of the model space 
+    as an efficient hash table.  See  Clyde, Ghosh and Littman (2010) 
+    <DOI:10.1198/jcgs.2010.09049> for  details on the sampling algorithms.
     Uniform priors over all models or beta-binomial prior distributions on
     model size are allowed, and for large p truncated priors on the model
     space may be used to enforce sampling models that are full rank.  
-    The user may force variables to always be included in addition to imposing constraints
-    that higher order interactions are included only if their parents are
-    included in the model.
-    Details behind the sampling algorithm are provided in
-    Clyde, Ghosh and Littman (2010)   <DOI:10.1198/jcgs.2010.09049>.
+    The user may force variables to always be included in addition to imposing
+    constraints that higher order interactions are included only if their 
+    parents are included in the model.
     This material is based upon work supported by the National Science
-    Foundation under Division of Mathematical Sciences grant 1106891.  Any opinions, findings, and
+    Foundation under Division of Mathematical Sciences grant 1106891.
+    Any opinions, findings, and
     conclusions or recommendations expressed in this material are those of
     the author(s) and do not necessarily reflect the views of the
     National Science Foundation.

NEWS.md

@@ -53,7 +53,7 @@ Fixed errors identified on cran checks https://cran.r-project.org/web/checks/che
 
 ## Features
 
-* Included an option `pivot=TRUE` in `bas.lm` to fit the models using a pivoted Cholesky decomposition to allow models that are rank-deficient.  [Enhancment #24](https://github.com/merliseclyde/BAS/issues/24) and [Bug #21](https://github.com/merliseclyde/BAS/issues/21).  Currently coefficients that are not-estimable are set to zero so that `predict` and other methods will work as before.  The vector `rank` is added to the output (see documentation for `bas.lm`) and the degrees of freedom methods that assume a uniform prior for obtaining estimates (AIC and BIC) are adjusted to use `rank` rather than `size`.  
+* Included an option `pivot=TRUE` in `bas.lm` to fit the models using a pivoted Cholesky decomposition to allow models that are rank-deficient.  [Enhancement #24](https://github.com/merliseclyde/BAS/issues/24) and [Bug #21](https://github.com/merliseclyde/BAS/issues/21).  Currently coefficients that are not-estimable are set to zero so that `predict` and other methods will work as before.  The vector `rank` is added to the output (see documentation for `bas.lm`) and the degrees of freedom methods that assume a uniform prior for obtaining estimates (AIC and BIC) are adjusted to use `rank` rather than `size`.  
 
 * Added option `force.heredity=TRUE`to force lower order terms to be included if higher order terms are present (hierarchical constraint) for `method='MCMC'` and `method='BAS'` with `bas.lm` and `bas.glm`.  Updated Vignette to illustrate. [enhancement #19](https://github.com/merliseclyde/BAS/issues/19).  Checks to see if  _parents_ are included using `include.always` pass  [issue #26](https://github.com/merliseclyde/BAS/issues/26).
 
@@ -292,7 +292,7 @@ A vignette has been added at long last!  This illustrates several of the new fea
 
 
 
-## Deprication 
+## Deprecation 
 * deprecated use of `type` to specify estimator in fitted.bas	and replaced with `estimator` so that `predict()` and `fitted()` are compatible with other S3 methods. 
 * updated functions to be of class `bas` to avoid NAMESPACE conflicts with  other libraries
 

R/data.R

@@ -116,7 +116,7 @@ NULL
 #'  C, +/- 1.2 degrees C in tropical sea surface temperatures.
 #'  The negative value means that the Earth was colder then than now.
 #'  Since 1980 there have been many other studies.
-#' \code{climate} is a dataset contaning 63 measurements on 5 variables:
+#' \code{climate} is a dataset with 63 measurements on 5 variables:
 #' \describe{\item{\emph{deltaT}}{ the response variables, which is the change in temperature
 #' in degrees Celsius;}
 #' \item{\emph{sdev}}{a standard deviation for the calculated \emph{deltaT};}