minor tweaks

helske · Feb 9, 2023 · 71222ab · 71222ab
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: walker
 Type: Package
 Title: Bayesian Generalized Linear Models with Time-Varying Coefficients
-Version: 1.0.6
+Version: 1.0.6-2
 Description: Efficient Bayesian generalized linear models with time-varying coefficients 
  as in Helske (2022, <doi:10.1016/j.softx.2022.101016>). Gaussian, Poisson, and binomial 
  observations are supported. The Markov chain Monte Carlo (MCMC) computations are done using 

diff --git a/R/walker.R b/R/walker.R
@@ -67,10 +67,11 @@
 #' # both fixed intercept and time-varying level,
 #' # can be unidentifiable without strong priors:
 #' fit1 <- walker(y ~ rw1(~ x, beta = c(0, 1)), 
-#' beta = c(0, 1), chains = 1, iter = 1000) 
+#' beta = c(0, 1), chains = 1, iter = 1000, init = 0) 
 #' 
 #' # only time-varying level, using 0 or -1 removes intercept:
-#' fit2 <- walker(y ~ 0 + rw1(~ x, beta = c(0, 1)), chains = 1, iter = 1000)
+#' fit2 <- walker(y ~ 0 + rw1(~ x, beta = c(0, 1)), chains = 1, iter = 1000,
+#' init = 0)
 #' 
 #' # time-varying level, no covariates:
 #' fit3 <- walker(y ~ 0 + rw1(~ 1, beta = c(0, 1)), chains = 1, iter = 1000)

diff --git a/README.md b/README.md
@@ -23,6 +23,12 @@ devtools::install_github("helske/walker")
 NEWS
 ---------------------------------------------
 
+
+### 22.11.2022, version 1.0.6-2
+
+* Fixed the initial values in the examples of walker in order to get sampler 
+ started.
+
 ### 13.10.2022, version 1.0.6
 
 * Fixed the LFO computations in case the data contains missing values.

diff --git a/inst/CITATION b/inst/CITATION
@@ -8,7 +8,7 @@ c(
  pages = "101016",
  year = "2022",
  issn = "2352-7110",
- doi = "https://doi.org/10.1016/j.softx.2022.101016",
+ doi = "10.1016/j.softx.2022.101016",
  url = "https://www.sciencedirect.com/science/article/pii/S235271102200022X",
  key = "walker"
  ),

diff --git a/vignettes/walker.bib b/vignettes/walker.bib
@@ -27,7 +27,7 @@ @article{walkerpaper
 pages = {101016},
 year = {2022},
 issn = {2352-7110},
-doi = {https://doi.org/10.1016/j.softx.2022.101016},
+doi = {10.1016/j.softx.2022.101016},
 url = {https://www.sciencedirect.com/science/article/pii/S235271102200022X},
 author = {Jouni Helske},
 keywords = {Bayesian inference, Time-varying regression, R, Markov chain Monte Carlo},